This repository contains a collection of resources and papers on Diffusion Models.
- Resources
- Papers
⏩ DiffusionFastForward: 01-Diffusion-Theory
Mikolaj Czerkawski (@mikonvergence)
[Website]
4 Feb 2023
How diffusion models work: the math from scratch
Sergios Karagiannakos,Nikolas Adaloglou
[Website]
24 Sep 2022
A Path to the Variational Diffusion Loss
Alex Alemi
[Website] [Colab]
15 Sep 2022
The Annotated Diffusion Model
Niels Rogge, Kashif Rasul
[Website]
06 Jun 2022
The recent rise of diffusion-based models
Maciej Domagała
[Website]
06 Jun 2022
Introduction to Diffusion Models for Machine Learning
Ryan O'Connor
[Website]
12 May 2022
Improving Diffusion Models as an Alternative To GANs
Arash Vahdat and Karsten Kreis
[Website-Part 1] [Website-Part 2]
26 Apr 2022
An introduction to Diffusion Probabilistic Models
Ayan Das
[Website]
04 Dec 2021
Introduction to deep generative modeling: Diffusion-based Deep Generative Models
Jakub Tomczak
[Website]
30 Aug 2021
What are Diffusion Models?
Lilian Weng
[Website]
11 Jul 2021
Diffusion Models as a kind of VAE
Angus Turner
[Website]
29 Jun 2021
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
[Website]
5 May 2021
Understanding Diffusion Models: A Unified Perspective
Calvin Luo
arXiv 2022. [Paper]
25 Aug 2022
How to Train Your Energy-Based Models
Yang Song, Diederik P. Kingma
arXiv 2022. [Paper]
9 Jan 2021
⏩ DiffusionFastForward
Mikolaj Czerkawski (@mikonvergence)
[Video]
4 Mar 2023
Diffusion models from scratch in PyTorch
DeepFindr
[Video]
18 Jul 2022
Diffusion Models | Paper Explanation | Math Explained
Outlier
[Video]
6 Jun 2022
What are Diffusion Models?
Ari Seff
[Video]
20 Apr 2022
Diffusion models explained
AI Coffee Break with Letitia
[Video]
23 Mar 2022
Denoising Diffusion-based Generative Modeling: Foundations and Applications
Karsten Kreis, Ruiqi Gao, Arash Vahdat
[Page]
19 Jun 2022
Diffusion Probabilistic Models
Jascha Sohl-Dickstein, MIT 6.S192 - Lecture 22
[Video]
19 Apr 2022
⏩ DiffusionFastForward: train from scratch in colab
Mikolaj Czerkawski (@mikonvergence)
[Github]
[notebook]
diffusion-for-beginners
ozanciga
[Github]
Beyond Diffusion: What is Personalized Image Generation and How Can You Customize Image Synthesis?
J. Rafid Siddiqui
[Github] [Medium]
Diffusion_models_tutorial
FilippoMB
[Github]
ScoreDiffusionModel
JeongJiHeon
[Github]
Minimal implementation of diffusion models
VSehwag
[Github]
diffusion_tutorial
sunlin-ai
[Github]
Denoising diffusion probabilistic models
acids-ircam
[Github]
Centipede Diffusion
Zalring
[Notebook]
Deforum Stable Diffusion
deforum
[Notebook]
Stable Diffusion Interpolation
None
[Notebook]
Keras Stable Diffusion: GPU starter example
None
[Notebook]
Huemin Jax Diffusion
huemin-art
[Notebook]
Disco Diffusion
alembics
[Notebook]
Simplified Disco Diffusion
entmike
[Notebook]
WAS's Disco Diffusion - Portrait Generator Playground
WASasquatch
[Notebook]
Diffusers - Hugging Face
huggingface
[Notebook]
A Comprehensive Survey on Knowledge Distillation of Diffusion Models
Weijian Luo
arXiv 2023. [Paper]
9 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
Mengchun Zhang1, Maryam Qamar1, Taegoo Kang, Yuna Jung, Chenshuang Zhang, Sung-Ho Bae, Chaoning Zhang
arXiv 2023. [Paper]
4 Apr 2023
Audio Diffusion Model for Speech Synthesis: A Survey on Text To Speech and Speech Enhancement in Generative AI
Chenshuang Zhang, Chaoning Zhang, Sheng Zheng, Mengchun Zhang, Maryam Qamar, Sung-Ho Bae, In So Kweon
arXiv 2023. [Paper]
23 Mar 2023
Diffusion Models in NLP: A Survey
Yuansong Zhu, Yu Zhao
arXiv 2023. [Paper]
14 Mar 2023
Text-to-image Diffusion Model in Generative AI: A Survey
Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, In So Kweon
arXiv 2023. [Paper]
14 Mar 2023
Diffusion Models for Non-autoregressive Text Generation: A Survey
Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
arXiv 2023. [Paper]
12 Mar 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action
Zhiye Guo, Jian Liu, Yanli Wang, Mengrui Chen, Duolin Wang, Dong Xu, Jianlin Cheng
arXiv 2023. [Paper]
13 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications
Wenqi Fan, Chengyi Liu, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
arXiv 2023. [Paper]
6 Feb 2023
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof
arXiv 2022. [Paper] [Github]
14 Nov 2022
Efficient Diffusion Models for Vision: A Survey
Anwaar Ulhaq, Naveed Akhtar, Ganna Pogrebna
arXiv 2022. [Paper]
7 Oct 2022
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah
arXiv 2022. [Paper]
10 Sep 2022
A Survey on Generative Diffusion Model
Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
arXiv 2022. [Paper]
6 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang1, Zhilong Zhang1, Shenda Hong, Wentao Zhang
arXiv 2022. [Paper]
2 Sep 2022
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li
arXiv 2023. [Paper]
13 Apr 2023
DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion
Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman
arXiv 2023. [Paper] [Project] [Github]
12 Apr 2023
Reflected Diffusion Models
Aaron Lou, Stefano Ermon
arXiv 2023. [Paper]
10 Apr 2023
Binary Latent Diffusion
Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
arXiv 2023. [Paper]
10 Apr 2023
Diffusion Models as Masked Autoencoders
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan Yuille, Christoph Feichtenhofer
arXiv 2023. [Paper] [Project]
6 Apr 2023
Few-shot Semantic Image Synthesis with Class Affinity Transfer
Marlène Careil, Jakob Verbeek, Stéphane Lathuilière
CVPR 2023. [Paper]
5 Apr 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based Model
Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo
arxiv 2023. [Paper] [Project]
4 Apr 2023
Token Merging for Fast Stable Diffusion
Daniel Bolya, Judy Hoffman
arXiv 2023. [Paper] [Github]
30 Mar 2023
A Closer Look at Parameter-Efficient Tuning in Diffusion Models
Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
arXiv 2023. [Paper]
31 Mar 2023
-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
Sam Bond-Taylor, Chris G. Willcocks
arXiv 2023. [Paper]
31 Mar 2023
3D-aware Image Generation using 2D Diffusion Models
Jianfeng Xiang, Jiaolong Yang, Binbin Huang, Xin Tong
arXiv 2023. [Paper] [Project]
31 Mar 2023
Consistent View Synthesis with Pose-Guided Diffusion Models
Hung-Yu Tseng, Qinbo Li, Changil Kim, Suhib Alsisan, Jia-Bin Huang, Johannes Kopf
CVPR 2023. [Paper]
30 Mar 2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
CVPR 2023. [Paper] [Project]
30 Mar 2023
Masked Diffusion Transformer is a Strong Image Synthesizer
Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
arXiv 2023. [Paper] [Github]
25 Mar 2023
Conditional Image-to-Video Generation with Latent Flow Diffusion Models
Haomiao Ni1, Changhao Shi1, Kai Li, Sharon X. Huang, Martin Renqiang Min
CVPR 2023. [Paper] [Github]
24 Mar 2023
NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation
Shengming Yin, Chenfei Wu, Huan Yang, Jianfeng Wang, Xiaodong Wang, Minheng Ni, Zhengyuan Yang, Linjie Li, Shuguang Liu, Fan Yang, Jianlong Fu, Gong Ming, Lijuan Wang, Zicheng Liu, Houqiang Li, Nan Duan
arXiv 2023. [Paper] [Project]
22 Mar 2023
Object-Centric Slot Diffusion
Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
arXiv 2023. [Paper]
20 Mar 2023
LDMVFI: Video Frame Interpolation with Latent Diffusion Models
Duolikun Danier, Fan Zhang, David Bull
arXiv 2023. [Paper]
16 Mar 2023
Efficient Diffusion Training via Min-SNR Weighting Strategy
Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo
arXiv 2023. [Paper]
16 Mar 2023
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
CVPR 2023. [Paper]
15 Mar 2023
Interpretable ODE-style Generative Diffusion Model via Force Field Construction
Weiyang Jin, Yongpei Zhu, Yuxi Peng
arXiv 2023. [Paper]
14 Mar 2023
Regularized Vector Quantization for Tokenized Image Synthesis
Jiahui Zhang, Fangneng Zhan, Christian Theobalt, Shijian Lu
arXiv 2023. [Paper]
11 Mar 2023
PARASOL: Parametric Style Control for Diffusion Image Synthesis
Gemma Canet Tarrés, Dan Ruta, Tu Bui, John Collomosse
arXiv 2023. [Paper]
11 Mar 2023
Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion
Furkan Ozcelik, Rufin VanRullen
arXiv 2023. [Paper]
9 Mar 2023
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation
Paul Hagemann, Lars Ruthotto, Gabriele Steidl, Nicole Tianjiao Yang
arXiv 2023. [Paper]
8 Mar 2023
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu
arXiv 2023. [Paper]
7 Mar 2023
Generative Diffusions in Augmented Spaces: A Complete Recipe
Kushagra Pandey, Stephan Mandt
arXiv 2023. [Paper]
3 Mar 2023
Consistency Models
Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever
arXiv 2023. [Paper]
2 Mar 2023
Diffusion Probabilistic Fields
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alex Schwing, Joshua M. Susskind, Miguel Ángel Bautista
ICLR 2023. [Paper]
1 Mar 2023
Unsupervised Discovery of Semantic Latent Directions in Diffusion Models
Yong-Hyun Park1, Mingi Kwon1, Junghyo Jo, Youngjung Uh
arXiv 2023. [Paper]
24 Feb 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl
arXiv 2023. [Paper] [Project]
22 Feb 2023
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
Xiaodong Wang1, Chenfei Wu1, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan
arXiv 2023. [Paper]
21 Feb 2023
On Calibrating Diffusion Probabilistic Models
Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng
arXiv 2023. [Paper] [Github]
21 Feb 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
arXiv 2023. [Paper]
21 Feb 2023
Cross-domain Compositing with Pretrained Diffusion Models
Roy Hachnochi, Mingrui Zhao, Nadav Orzech, Rinon Gal, Ali Mahdavi-Amiri, Daniel Cohen-Or, Amit Haim Bermano
arXiv 2023. [Paper] [Github]
20 Feb 2023
Restoration based Generative Models
Jaemoo Choi1, Yesom Park1, Myungjoo Kang
arXiv 2023. [Paper]
20 Feb 2023
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Giannis Daras1, Yuval Dagan1, Alexandros G. Dimakis, Constantinos Daskalakis
arXiv 2023. [Paper] [Github]
17 Feb 2023
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation
Jiaxin Cheng1, Xiao Liang1, Xingjian Shi, Tong He, Tianjun Xiao, Mu Li
arXiv 2023. [Paper]
16 Feb 2023
Video Probabilistic Diffusion Models in Projected Latent Space
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
arXiv 2023. [Paper] [Github]
15 Feb 2023
DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model
Yichen Peng, Chunqi Zhao, Haoran Xie, Tsukasa Fukusato, Kazunori Miyata
arXiv 2023. [Paper]
14 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
Raghav Singhal1, Mark Goldstein1, Rajesh Ranganath
arXiv 2023. [Paper]
14 Feb 2023
Preconditioned Score-based Generative Models
Li Zhang, Hengyuan Ma, Xiatian Zhu, Jianfeng Feng
arXiv 2023. [Paper] Github]
13 Feb 2023
Star-Shaped Denoising Diffusion Probabilistic Models
Andrey Okhotin, Dmitry Molchanov, Vladimir Arkhipkin, Grigory Bartosh, Aibek Alanov, Dmitry Vetrov
arXiv 2023. [Paper]
10 Feb 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu
arXiv 2023. [Paper] [Project] [Github]
9 Feb 2023
Geometry of Score Based Generative Models
Sandesh Ghimire, Jinyang Liu, Armand Comas, Davin Hill, Aria Masoomi, Octavia Camps, Jennifer Dy
arXiv 2023. [Paper]
9 Feb 2023
Q-Diffusion: Quantizing Diffusion Models
Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
arXiv 2023. [Paper]
8 Feb 2023
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi Jaakkola
arXiv 2023. [Paper] [Github]
8 Feb 2023
Long Horizon Temperature Scaling
Andy Shih, Dorsa Sadigh, Stefano Ermon
arXiv 2023. [Paper]
7 Feb 2023
Spatial Functa: Scaling Functa to ImageNet Classification and Generation
Matthias Bauer1, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim1
arXiv 2023. [Paper]
6 Feb 2023
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories
Zijian Zhang, Zhou Zhao, Jun Yu, Qi Tian
AAAI 2023. [Paper]
5 Feb 2023
Divide and Compose with Score Based Generative Models
Sandesh Ghimire, Armand Comas, Davin Hill, Aria Masoomi, Octavia Camps, Jennifer Dy
arXiv 2023. [Paper] [Github]
5 Feb 2023
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models
Yilun Xu1, Shangyuan Tong1, Tommi Jaakkola
ICLR 2023. [Paper] [Github]
1 Feb 2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
Tao Yang, Yuwang Wang, Yan Lv, Nanning Zheng
arXiv 2023. [Paper]
31 Jan 2023
Optimizing DDPM Sampling with Shortcut Fine-Tuning
Ying Fan, Kangwook Lee
arXiv 2023. [Paper]
31 Jan 2023
Learning Data Representations with Joint Diffusion Models
Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak
arXiv 2023. [Paper]
31 Jan 2023
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
Shengmeng Li, Luping Liu, Zenghao Chai, Runnan Li, Xu Tan
arXiv 2023. [Paper]
30 Jan 2023
Don't Play Favorites: Minority Guidance for Diffusion Models
Soobin Um, Jong Chul Ye
arXiv 2023. [Paper] [Github]
29 Jan 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Suttisak Wizadwongsa, Supasorn Suwajanakorn
ICLR 2023. [Paper]
27 Jan 2023
Input Perturbation Reduces Exposure Bias in Diffusion Models
Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara
arXiv 2023. [Paper] [Github]
27 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models
Sangyun Lee, Beomsu Kim, Jong Chul Ye
arXiv 2023. [Paper]
27 Jan 2023
simple diffusion: End-to-end diffusion for high resolution images
Emiel Hoogeboom1, Jonathan Heek1, Tim Salimans
arXiv 2023. [Paper]
26 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Emanuele Aiello, Diego Valsesia, Enrico Magli
arXiv 2023. [Paper] [Github]
19 Jan 2023
Exploring Transformer Backbones for Image Diffusion Models
Princy Chahal
arXiv 2022. [Paper]
27 Dec 2022
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models
Zijian Zhang, Zhou Zhao, Zhijie Lin
arXiv 2022. [Paper]
26 Dec 2022
Scalable Adaptive Computation for Iterative Generation
Allan Jabri, David Fleet, Ting Chen
arXiv 2022. [Paper]
22 Dec 2022
Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation
Alex M. Tseng, Tommaso Biancalani, Max Shen, Gabriele Scalia
arXiv 2022. [Paper]
21 Dec 2022
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, Baining Guo
arXiv 2022. [Paper] [Github]
19 Dec 2022
Scalable Diffusion Models with Transformers
William Peebles, Saining Xie
arXiv 2022. [Paper] [Project] [Github]
19 Dec 2022
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
Gyeongnyeon Kim1, Wooseok Jang1, Gyuseong Lee1, Susung Hong, Junyoung Seo, Seungryong Kim
arXiv 2022. [Paper] [Project]
17 Dec 2022
Towards Practical Plug-and-Play Diffusion Models
Hyojun Go1, Yunsung Lee1, Jin-Young Kim1, Seunghyun Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi
arXiv 2022. [Paper]
12 Dec 2022
Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli
Matteo Ferrante, Tommaso Boccato, Nicola Toschi
arXiv 2022. [Paper]
13 Dec 2022
MAGVIT: Masked Generative Video Transformer
Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
arXiv 2022. [Paper] Project]
10 Dec 2022
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang
arXiv 2022. [Paper]
6 Dec 2022
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models
Naoki Matsunaga, Masato Ishii, Akio Hayakawa, Kenji Suzuki, Takuya Narihira
arXiv 2022. [Paper]
5 Dec 2022
VIDM: Video Implicit Diffusion Models
Kangfu Mei, Vishal M. Patel
arXiv 2022. [Paper] [Project] [Github]
1 Dec 2022
Why Are Conditional Generative Models Better Than Unconditional Ones?
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu
arXiv 2022. [Paper]
1 Dec 2022
High-Fidelity Guided Image Synthesis with Latent Diffusion Models
Jaskirat Singh, Stephen Gould, Liang Zheng
arXiv 2022. [Paper] [Project]
30 Nov 2022
Score-based Continuous-time Discrete Diffusion Models
Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai
arXiv 2022. [Paper]
30 Nov 2022
Wavelet Diffusion Models are fast and scalable Image Generators
Hao Phung, Quan Dao, Anh Tran
arXiv 2022. [Paper]
29 Nov 2022
Dimensionality-Varying Diffusion Process
Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng
arXiv 2022. [Paper]
29 Nov 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
Dongjun Kim1, Yeongmin Kim1, Wanmo Kang, Il-Chul Moon
arXiv 2022. [Paper]
28 Nov 2022
Diffusion Probabilistic Model Made Slim
Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
arXiv 2022. [Paper]
27 Nov 2022
Fast Sampling of Diffusion Models via Operator Learning
Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar
arXiv 2022. [Paper]
24 Nov 2022
Latent Video Diffusion Models for High-Fidelity Video Generation with Arbitrary Lengths
Yingqing He, Tianyu Yang, Yong Zhang, Ying Shan, Qifeng Chen
arXiv 2022. [Paper]
23 Nov 2022
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, Fang Wen
arXiv 2022. [Paper]
23 Nov 2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li
arXiv 2022. [Paper] [Github]
22 Nov 2022
Accelerating Diffusion Sampling with Classifier-based Feature Distillation
Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen
arXiv 2022. [Paper]
22 Nov 2022
SceneComposer: Any-Level Semantic Image Synthesis
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John Collomosse, Jason Kuen, Vishal M. Patel
arXiv 2022. [Paper] [Project]
21 Nov 2022
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training
Ling Yang1, Zhilin Huang1, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang
arXiv 2022. [Paper]
21 Nov 2022
SinFusion: Training Diffusion Models on a Single Image or Video
Yaniv Nikankin, Niv Haim, Michal Irani
arXiv 2022. [Paper]
21 Nov 2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models
Daquan Zhou1, Weimin Wang1, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng
arXiv 2022. [Paper] [Project]
20 Nov 2022
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou
arXiv 2022. [Paper] [Project] [Github]
13 Nov 2022
Few-shot Image Generation with Diffusion Models
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
arXiv 2022. [Paper]
7 Nov 2022
From Denoising Diffusions to Denoising Markov Models
Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
arXiv 2022. [Paper] [Github]
7 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
NeurIPS 2022. [Paper] [Github]
4 Nov 2022
An optimal control perspective on diffusion-based generative modeling
Julius Berner, Lorenz Richter, Karen Ullrich
NeurIPS Workshop 2022. [Paper]
2 Nov 2022
Entropic Neural Optimal Transport via Diffusion Processes
Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry Vetrov, Evgeny Burnaev
arXiv 2022. [Paper]
2 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
NeurIPS 2022 (Oral). [Paper] [Github]
2 Nov 2022
Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models
Vikram Voleti, Christopher Pal, Adam Oberman
NeurIPS Workshop 2022. [Paper]
21 Oct 2022
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle, Zhengyang Geng, Zico Kolter
NeurIPS 2022. [Paper] [Github]
23 Oct 2022
Representation Learning with Diffusion Models
Jeremias Traub
arXiv 2022. [Paper] [Github]
20 Oct 2022
Self-Guided Diffusion Models
Vincent Tao Hu1, David W Zhang1, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
arXiv 2022. [Paper]
12 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn, Arash Vahdat, Karsten Kreis
NeurIPS 2022. [Paper] [Project [Github]
11 Oct 2022
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Angel Bautista, Josh Susskind
arXiv 2022. [Paper] [Project]
10 Oct 2022
On Distillation of Guided Diffusion Models
Chenlin Meng, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans
arXiv 2022. [Paper]
6 Oct 2022
Improving Sample Quality of Diffusion Model Using Self-Attention Guidance
Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim
arXiv 2022. [Paper] [Project]
3 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models
Shahar Shlomo Lutati, Lior Wolf
arXiv 2022. [Paper] [Github]
2 Oct 2022
Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2
Ali Borji
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14 Feb 2023
I2SB: Image-to-Image Schrödinger Bridge
Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar
arXiv 2023. [Paper] [Project]
12 Feb 2023
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion
Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu
arXiv 2023. [Paper]
31 Jan 2023
DiffFace: Diffusion-based Face Swapping with Facial Guidance
Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, KwangHee Lee
arXiv 2022. [Paper] [Project]
27 Dec 2022
HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping
Qinghe Wang, Lijie Liu, Miao Hua, Qian He, Pengfei Zhu, Bing Cao, Qinghua Hu
arXiv 2022. [Paper]
13 Dec 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
Chen Henry Wu, Fernando De la Torre
arXiv 2022. [Paper] [Github-1] [Github-2]
11 Oct 2022
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation
Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch
BMVC 2022. [Paper]
4 Oct 2022
Diffusion-based Image Translation using Disentangled Style and Content Representation
Gihyun Kwon, Jong Chul Ye
arXiv 2022. [Paper]
30 Sep 2022
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation
Junyoung Seo1, Gyuseong Lee1, Seokju Cho, Jiyoung Lee, Seungryong Kim
arXiv 2022. [Paper] [Project]
22 Sep 2022
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
Ozan Özdenizci, Robert Legenstein
arXiv 2022. [Paper]
29 Jul 2022
Non-Uniform Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2022. [Paper]
20 Jul 2022
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Muzaffer Özbey, Salman UH Dar, Hasan A Bedel, Onat Dalmaz, Şaban Özturk, Alper Güngör, Tolga Çukur
arXiv 2022. [Paper]
17 Jul 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
arXiv 2022. [Paper]
14 Jul 2022
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
arXiv 2022. [Paper] [Github]
15 Jun 2022
Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen
arXiv 2022. [Paper] [Project] [Github]
25 May 2022
VQBB: Image-to-image Translation with Vector Quantized Brownian Bridge
Bo Li, Kaitao Xue, Bin Liu, Yu-Kun Lai
arXiv 2022. [Paper]
16 May 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
Julia Wolleb1, Robin Sandkühler1, Florentin Bieder, Philippe C. Cattin
arXiv 2022. [Paper]
6 Apr 2022
Dual Diffusion Implicit Bridges for Image-to-Image Translation
Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon
arXiv 2022. [Paper]
16 Mar 2022
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
NeurIPS 2022. [Paper]
27 Jan 2022
DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models
Boah Kim, Inhwa Han, Jong Chul Ye
arXiv 2021. [Paper]
9 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn
arXiv 2021. [Paper] [Project]
30 Dec 2021
Conditional Image Generation with Score-Based Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2021. [Paper]
26 Nov 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
ICCV 2021 (Oral). [Paper] [Github]
6 Aug 2021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
arXiv 2021. [Paper]
12 Apr 2021
Expressive Text-to-Image Generation with Rich Text
Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang
arXiv 2023. [Paper] [Project] [Github]
13 Apr 2023
An Edit Friendly DDPM Noise Space: Inversion and Manipulations
Inbar Huberman-Spiegelglas, Vladimir Kulikov, Tomer Michaeli
arXiv 2023. [Paper]
12 Apr 2023
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin
arXiv 2023. [Paper] [Project]
12 Apr 2023
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models
Eslam Mohamed Bakr, Pengzhan Sun, Xiaoqian Shen, Faizan Farooq Khan, Li Erran Li, Mohamed Elhoseiny
arXiv 2023. [Paper] [Project]
11 Apr 2023
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Mohammadreza Armandpour, Huangjie Zheng, Ali Sadeghian, Amir Sadeghian, Mingyuan Zhou
arXiv 2023. [Paper]
11 Apr 2023
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models
Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov, Artem Babenko
arXiv 2023. [Paper]
10 Apr 2023
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation
Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, Qiang Xu
arXiv 2023. [Paper] [Github]
9 Apr 2023
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis
Qiucheng Wu1, Yujian Liu1, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang
arXiv 2023. [Paper] [Github]
7 Apr 2023
Zero-shot Generative Model Adaptation via Image-specific Prompt Learning
Jiayi Guo, Chaofei Wang, You Wu, Eric Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang
arXiv 2023. [Paper] [Github]
6 Apr 2023
Training-Free Layout Control with Cross-Attention Guidance
Minghao Chen, Iro Laina, Andrea Vedaldi
arXiv 2023. [Paper] [Project] [Github]
6 Apr 2023
Benchmarking Robustness to Text-Guided Corruptions
Mohammadreza Mofayezi1, Yasamin Medghalchi1
arXiv 2023. [Paper]
6 Apr 2023
DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model
Hoigi Seo1, Hayeon Kim1, Gwanghyun Kim, Se Young Chun
arXiv 2023. [Paper] [Project]
6 Apr 2023
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models
Xuhui Jia, Yang Zhao, Kelvin C.K. Chan, Yandong Li, Han Zhang, Boqing Gong, Tingbo Hou, Huisheng Wang, Yu-Chuan Su
arXiv 2023. [Paper]
5 Apr 2023
A Diffusion-based Method for Multi-turn Compositional Image Generation
Chao Wang, Xiaoyu Yang, Jinmiao Huang, Kevin Ferreira
arXiv 2023. [Paper]
5 Apr 2023
viz2viz: Prompt-driven stylized visualization generation using a diffusion model
Jiaqi Wu, John Joon Young Chung, Eytan Adar
arXiv 2023. [Paper]
4 Apr 2023
Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing
Alberto Baldrati1, Davide Morelli1, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara
arXiv 2023. [Paper]
4 Apr 2023
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion
Gwanghyun Kim, Ji Ha Jang, Se Young Chun
arXiv 2023. [Paper] [Project]
4 Apr 2023
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models
Jaewoong Lee1, Sangwon Jang1, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang
arXiv 2023. [Paper]
4 Apr 2023
ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu
arXiv 2023. [Paper] [Project] [Github]
3 Apr 2023
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models
Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, Kwan-Yee K. Wong
arXiv 2023. [Paper]
3 Apr 2023
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
Longwen Zhang1, Qiwei Qiu1, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, Jingyi Yu
arXiv 2023. [Paper] [Project]
1 Apr 2023
GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently
Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin
arXiv 2023. [Paper] [Project]
31 Mar 2023
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
arXiv 2023. [Paper] [Project] [Github]
30 Mar 2023
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models
Vidit Goel1, Elia Peruzzo1, Yifan Jiang, Dejia Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi
arXiv 2023. [Paper] [Github]
30 Mar 2023
Social Biases through the Text-to-Image Generation Lens
Ranjita Naik, Besmira Nushi
arXiv 2023. [Paper]
30 Mar 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Eric Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi
arXiv 2023. [Paper] [Github]
30 Mar 2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
CVPR 2023. [Paper] [Project]
30 Mar 2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Wen Wang1, Kangyang Xie1, Zide Liu1, Hao Chen, Yue Cao, Xinlong Wang, Chunhua Shen
arXiv 2023. [Paper]
30 Mar 2023
Discriminative Class Tokens for Text-to-Image Diffusion Models
Idan Schwartz1, Vésteinn Snæbjarnarson1, Sagie Benaim, Hila Chefer, Ryan Cotterell, Lior Wolf, Serge Belongie
arXiv 2023. [Paper]
30 Mar 2023
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation
Guangcong Zheng1, Xianpan Zhou1, Xuewei Li, Zhongang Qi, Ying Shan, Xi Li
CVPR 2023. [Paper] [Github]
30 Mar 2023
4D Facial Expression Diffusion Model
Kaifeng Zou, Sylvain Faisan, Boyang Yu, Sébastien Valette, Hyewon Seo
arXiv 2023. [Paper] [Github]
29 Mar 2023
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path
Qian Wang, Biao Zhang, Michael Birsak, Peter Wonka
arXiv 2023. [Paper] [Github]
29 Mar 2023
Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion
Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, Takuya Narihira
arXiv 2023. [Paper] [Github]
28 Mar 2023
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang
arXiv 2023. [Paper]
28 Mar 2023
Seer: Language Instructed Video Prediction with Latent Diffusion Models
Xianfan Gu, Chuan Wen, Jiaming Song, Yang Gao
arXiv 2023. [Paper]
27 Mar 2023
Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation
Susung Hong1, Donghoon Ahn1, Seungryong Kim
arXiv 2023. [Paper]
27 Mar 2023
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
Thanh Van Le, Hao Phung, Thuan Hoang Nguyen, Quan Dao, Ngoc Tran, Anh Tran
arXiv 2023. [Paper] [Github]
27 Mar 2023
GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents
Tenglong Ao, Zeyi Zhang, Libin Liu
arXiv 2023. [Paper]
26 Mar 2023
Better Aligning Text-to-Image Models with Human Preference
Xiaoshi Wu, Keqiang Sun, Feng Zhu, Rui Zhao, Hongsheng Li
arXiv 2023. [Paper] [Github]
25 Mar 2023
ISS++: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
arXiv 2023. [Paper]
24 Mar 2023
DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis
Jiapeng Tang, Yinyu Nie, Lev Markhasin, Angela Dai, Justus Thies, Matthias Nießner
arXiv 2023. [Paper] [Project]
24 Mar 2023
CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout
Yiqi Lin1, Haotian Bai1, Sijia Li, Haonan Lu, Xiaodong Lin, Hui Xiong, Lin Wang
arXiv 2023. [Paper] [Project]
24 Mar 2023
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia
arXiv 2023. [Paper]
24 Mar 2023
ReVersion: Diffusion-Based Relation Inversion from Images
Ziqi Huang1, Tianxing Wu1, Yuming Jiang, Kelvin C.K. Chan, Ziwei Liu
arXiv 2023. [Paper] [Project] [Github]
23 Mar 2023
Ablating Concepts in Text-to-Image Diffusion Models
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu
arXiv 2023. [Paper]
23 Mar 2023
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
arXiv 2023. [Paper] [Github]
23 Mar 2023
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wenjing Yang
arXiv 2023. [Paper] [Project] [Github]
23 Mar 2023
Pix2Video: Video Editing using Image Diffusion
Duygu Ceylan, Chun-Hao Paul Huang, Niloy J. Mitra
arXiv 2023. [Paper] [Project]
22 Mar 2023
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa
arXiv 2023. [Paper] [Project]
22 Mar 2023
SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation
Juil Koo1, Seungwoo Yoo1, Minh Hieu Nguyen1, Minhyuk Sung
arXiv 2023. [Paper] [Project]
21 Mar 2023
Vox-E: Text-guided Voxel Editing of 3D Objects
Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor
arXiv 2023. [Paper] [Project]
21 Mar 2023
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
Geonmo Gu1, Sanghyuk Chun1, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun
arXiv 2023. [Paper]
21 Mar 2023
3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion
Yu-Jhe Li, Kris Kitani
arXiv 2023. [Paper]
21 Mar 2023
Text2Tex: Text-driven Texture Synthesis via Diffusion Models
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner
arXiv 2023. [Paper] [Project]
20 Mar 2023
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, Daniel Cohen-Or
arXiv 2023. [Paper] [Project]
20 Mar 2023
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris Metaxas, Feng Yang
arXiv 2023. [Paper]
20 Mar 2023
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models
René Haas, Inbar Huberman-Spiegelglas, Rotem Mulayoff, Tomer Michaeli
arXiv 2023. [Paper]
20 Mar 2023
SKED: Sketch-guided Text-based 3D Editing
Aryan Mikaeili, Or Perel, Daniel Cohen-Or, Ali Mahdavi-Amiri
arxiv 2023. [Paper]
19 Mar 2023
DialogPaint: A Dialog-based Image Editing Model
Jingxuan Wei1, Shiyu Wu1, Xin Jiang, Yequan Wang
arXiv 2023. [Paper]
17 Mar 2023
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu
arXiv 2023. [Paper]
17 Mar 2023
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
Peng Jin1, Hao Li1, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan, Jie Chen
arXiv 2023. [Paper]
17 Mar 2023
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang
arXiv 2023. [Paper] [Github]
17 Mar 2023
Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image Generation
Yiyang Ma, Huan Yang, Wenjing Wang, Jianlong Fu, Jiaying Liu
arXiv 2023. [Paper]
16 Mar 2023
FateZero: Fusing Attentions for Zero-shot Text-based Video Editing
Chenyang Qi, Xiaodong Cun, Yong Zhang, Chenyang Lei, Xintao Wang, Ying Shan, Qifeng Chen
arXiv 2023. [Paper] [Project] [Github]
16 Mar 2023
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Shu Zhang1, Xinyi Yang1, Yihao Feng1, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu
arXiv 2023. [Paper]
16 Mar 2023
P+: Extended Textual Conditioning in Text-to-Image Generation
Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, Kfir Aberman
arXiv 2023. [Paper] [Project]
16 Mar 2023
Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion
Inhwa Han1, Serin Yang1, Taesung Kwon, Jong Chul Ye
arXiv 2023. [Paper]
15 Mar 2023
Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models
Divya Kothandaraman, Tianyi Zhou, Ming Lin, Dinesh Manocha
arXiv 2023. [Paper] [Github]
15 Mar 2023
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer
Serin Yang, Hyunmin Hwang, Jong Chul Ye
arXiv 2023. [Paper]
15 Mar 2023
Edit-A-Video: Single Video Editing with Object-Aware Consistency
Chaehun Shin1, Heeseung Kim1, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
arXiv 2023. [Paper] [Project]
14 Mar 2023
Editing Implicit Assumptions in Text-to-Image Diffusion Models
Hadas Orgad1, Bahjat Kawar1, Yonatan Belinkov
arXiv 2023. [Paper] [Project] [Github]
14 Mar 2023
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Junyoung Seo1, Wooseok Jang1, Min-Seop Kwak1, Jaehoon Ko, Hyeonsu Kim, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, Seungryong Kim
arXiv 2023. [Paper]
14 Mar 2023
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
Chenfei Wu, Shengming Yin, Weizhen Qi, Xiaodong Wang, Zecheng Tang, Nan Duan
arXiv 2023. [Paper] [Github]
8 Mar 2023
Video-P2P: Video Editing with Cross-attention Control
Shaoteng Liu, Yuechen Zhang, Wenbo Li, Zhe Lin, Jiaya Jia
arXiv 2023. [Paper] [Project]
8 Mar 2023
Erasing Concepts from Diffusion Models
Rohit Gandikota1, Joanna Materzynska1, Jaden Fiotto-Kaufman, David Bau
arXiv 2023. [Paper] [Project] [Github]
13 Mar 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu
arXiv 2023. [Paper] [Github]
12 Mar 2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
Zhiheng Liu1, Ruili Feng1, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao
arXiv 2023. [Paper]
9 Mar 2023
A Prompt Log Analysis of Text-to-Image Generation Systems
Yutong Xie, Zhaoying Pan, Jinge Ma, Jie Luo, Qiaozhu Mei
arXiv 2023. [Paper]
8 Mar 2023
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
Zhiwei Tang, Dmitry Rybin, Tsung-Hui Chang
arXiv 2023. [Paper] [Github]
7 Mar 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
Wenliang Zhao1, Yongming Rao1, Zuyan Liu1, Benlin Liu, Jie Zhou, Jiwen Lu
arXiv 2023. [Paper] [Github]
3 Mar 2023
Collage Diffusion
Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian
arXiv 2023. [Paper]
1 Mar 2023
Towards Enhanced Controllability of Diffusion Models
Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David I. Inouye, Ajinkya Kale
arXiv 2023. [Paper]
28 Feb 2023
Directed Diffusion: Direct Control of Object Placement through Attention Guidance
Wan-Duo Kurt Ma, J.P. Lewis, W. Bastiaan Kleijn, Thomas Leung
arXiv 2023. [Paper]
25 Feb 2023
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis
Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz
arXiv 2023. [Paper]
24 Feb 2023
Region-Aware Diffusion for Zero-shot Text-driven Image Editing
Nisha Huang, Fan Tang, Weiming Dong, Tong-Yee Lee, Changsheng Xu
arXiv 2023. [Paper] [Github]
23 Feb 2023
Controlled and Conditional Text to Image Generation with Diffusion Prior
Pranav Aggarwal, Hareesh Ravi, Naveen Marri, Sachin Kelkar, Fengbin Chen, Vinh Khuc, Midhun Harikumar, Ritiz Tambi, Sudharshan Reddy Kakumanu, Purvak Lapsiya, Alvin Ghouas, Sarah Saber, Malavika Ramprasad, Baldo Faieta, Ajinkya Kale
arXiv 2023. [Paper]
23 Feb 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl
arXiv 2023. [Paper] [Project]
22 Feb 2023
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
Xiaodong Wang1, Chenfei Wu1, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan
arXiv 2023. [Paper]
21 Feb 2023
Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension
Henry Kvinge, Davis Brown, Charles Godfrey
arXiv 2023. [Paper]
16 Feb 2023
Text-driven Visual Synthesis with Latent Diffusion Prior
Ting-Hsuan Liao, Songwei Ge, Yiran Xu, Yao-Chih Lee, Badour AlBahar, Jia-Bin Huang
arXiv 2023. [Paper] [Project]
16 Feb 2023
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
Chong Mou, Xintao Wang, Liangbin Xie, Jian Zhang, Zhongang Qi, Ying Shan, Xiaohu Qie
arXiv 2023. [Paper] [Github]
16 Feb 2023
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
Omer Bar-Tal1, Lior Yariv1, Yaron Lipman, Tali Dekel
arXiv 2023. [Paper] Project] [Github]
16 Feb 2023
Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models
Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
arXiv 2023. [Paper]
16 Feb 2023
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
Joshua Vendrow1, Saachi Jain1, Logan Engstrom, Aleksander Madry
arXiv 2023. [Paper] [Github]
15 Feb 2023
PRedItOR: Text Guided Image Editing with Diffusion Prior
Hareesh Ravi, Sachin Kelkar, Midhun Harikumar, Ajinkya Kale
arXiv 2023. [Paper]
15 Feb 2023
Text-Guided Scene Sketch-to-Photo Synthesis
AprilPyone MaungMaung, Makoto Shing, Kentaro Mitsui, Kei Sawada, Fumio Okura
arXiv 2023. [Paper]
14 Feb 2023
Universal Guidance for Diffusion Models
Arpit Bansal1, Hong-Min Chu1, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein
arXiv 2023. [Paper] [Github]
14 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang, Maneesh Agrawala
arXiv 2023. [Paper] [Github]
10 Feb 2023
Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance
Chaerin Kong, Nojun Kwak
arXiv 2023. [Paper]
10 Feb 2023
Is This Loss Informative? Speeding Up Textual Inversion with Deterministic Objective Evaluation
Anton Voronov1, Mikhail Khoroshikh1, Artem Babenko, Max Ryabinin
arXiv 2023. [Paper]
9 Feb 2023
Q-Diffusion: Quantizing Diffusion Models
Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
arXiv 2023. [Paper]
8 Feb 2023
GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, Ben Y. Zhao
arXiv 2023. [Paper]
8 Feb 2023
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models
Hyeonho Jeong, Gihyun Kwon, Jong Chul Ye
arXiv 2023. [Paper]
8 Feb 2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Felix Friedrich, Patrick Schramowski, Manuel Brack, Lukas Struppek, Dominik Hintersdorf, Sasha Luccioni, Kristian Kersting
arXiv 2023. [Paper]
7 Feb 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
Yuxin Wen1, Neel Jain1, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein
arXiv 2023. [Paper] [Github]
7 Feb 2023
Zero-shot Image-to-Image Translation
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
arXiv 2023. [Paper]
6 Feb 2023
Structure and Content-Guided Video Synthesis with Diffusion Models
Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis
arXiv 2023. [Paper] [Project]
6 Feb 2023
Mixture of Diffusers for scene composition and high resolution image generation
Álvaro Barbero Jiménez
arXiv 2023. [Paper]
5 Feb 2023
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li
arXiv 2023. [Paper]
5 Feb 2023
Eliminating Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion
Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang
arXiv 2023. [Paper]
5 Feb 2023
Semantic-Guided Image Augmentation with Pre-trained Models
Bohan Li, Xinghao Wang, Xiao Xu, Yutai Hou, Yunlong Feng, Feng Wang, Wanxiang Che
arXiv 2023. [Paper]
4 Feb 2023
TEXTure: Text-Guided Texturing of 3D Shapes
Elad Richardson1, Gal Metzer1, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
3 Feb 2023
Dreamix: Video Diffusion Models are General Video Editors
Eyal Molad1, Eliahu Horwitz1, Dani Valevski1, Alex Rav Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, Yedid Hoshen
arXiv 2023. [Paper] [Project]
2 Feb 2023
Trash to Treasure: Using text-to-image models to inform the design of physical artefacts
Amy Smith1, Hope Schroeder1, Ziv Epstein, Michael Cook, Simon Colton, Andrew Lippman
arXiv 2023. [Paper]
1 Feb 2023
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
Hila Chefer1, Yuval Alaluf1, Yael Vinker, Lior Wolf, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
31 Jan 2023
Zero3D: Semantic-Driven Multi-Category 3D Shape Generation
Bo Han, Yitong Liu, Yixuan Shen
arXiv 2023. [Paper]
31 Jan 2023
Shape-aware Text-driven Layered Video Editing
Yao-Chih Lee, Ji-Ze Genevieve Jang, Yi-Ting Chen, Elizabeth Qiu, Jia-Bin Huang
arXiv 2023. [Paper] [Project]
30 Jan 2023
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
arXiv 2023. [Paper] [Github]
30 Jan 2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Ming Tao, Bing-Kun Bao, Hao Tang, Changsheng Xu
arXiv 2023. [Paper] [Github]
30 Jan 2023
SEGA: Instructing Diffusion using Semantic Dimensions
Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting
arXiv 2023. [Paper]
28 Jan 2023
Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset
Zhixuan Liu, Youeun Shin, Beverley-Claire Okogwu, Youngsik Yun, Lia Coleman, Peter Schaldenbrand, Jihie Kim, Jean Oh
arXiv 2023. [Paper]
28 Jan 2023
Text-To-4D Dynamic Scene Generation
Uriel Singer1, Shelly Sheynin1, Adam Polyak1, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman
arXiv 2023. [Paper]
26 Jan 2023
Guiding Text-to-Image Diffusion Model Towards Grounded Generation
Ziyi Li, Qinye Zhou, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie
arXiv 2023. [Paper] [Project]
12 Jan 2023
Visual Story Generation Based on Emotion and Keywords
Yuetian Chen, Ruohua Li, Bowen Shi, Peiru Liu, Mei Si
AAAI 2022. [Paper]
7 Jan 2023
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang1, Han Zhang1, Jarred Barber, AJ Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
arXiv 2023. [Paper] [Project]
2 Jan 2023
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models
Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao
arXiv 2022. [Paper] [Project]
28 Dec 2022
Exploring Vision Transformers as Diffusion Learners
He Cao, Jianan Wang, Tianhe Ren, Xianbiao Qi, Yihao Chen, Yuan Yao, Lei Zhang
arXiv 2022. [Paper]
28 Dec 2022
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Weixian Lei, Yuchao Gu, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou
arXiv 2022. [Paper] [Project]
22 Dec 2022
Optimizing Prompts for Text-to-Image Generation
Yaru Hao1, Zewen Chi1, Li Dong, Furu Wei
arXiv 2022. [Paper] [Project] [Github]
19 Dec 2022
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang
arXiv 2022. [Paper] [Github]
16 Dec 2022
TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models
Federico A. Galatolo, Mario G. C. A. Cimino, Edoardo Cogotti
arXiv 2022. [Paper]
15 Dec 2022
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting
Su Wang1, Chitwan Saharia1, Ceslee Montgomery1, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan
arXiv 2022. [Paper]
13 Dec 2022
The Stable Artist: Steering Semantics in Diffusion Latent Space
Manuel Brack, Patrick Schramowski, Felix Friedrich, Dominik Hintersdorf, Kristian Kersting
arXiv 2022. [Paper]
12 Dec 2022
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model
Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, Kun Zhang
arXiv 2022. [Paper]
9 Dec 2022
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang
arXiv 2022. [Paper] [Github]
9 Dec 2022
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, Christian Theobalt
arXiv 2022. [Paper] [Project]
8 Dec 2022
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander Schwing, Liangyan Gui
arXiv 2022. [Paper] [Project]
8 Dec 2022
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris Metaxas, Jian Ren
arXiv 2022. [Paper] [Project] [Github]
8 Dec 2022
Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
arXiv 2022. [Paper] [Project]
8 Dec 2022
Diffusion Guided Domain Adaptation of Image Generators
Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris Metaxas, Ahmed Elgammal
arXiv 2022. [Paper] [Project]
8 Dec 2022
Executing your Commands via Motion Diffusion in Latent Space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu
arXiv 2022. [Paper] [Project]
8 Dec 2022
Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation
Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Xiu Li
arXiv 2022. [Paper]
7 Dec 2022
Judge, Localize, and Edit: Ensuring Visual Commonsense Morality for Text-to-Image Generation
Seongbeom Park, Suhong Moon, Jinkyu Kim
arXiv 2022. [Paper]
7 Dec 2022
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
Congyue Deng, Chiyu "Max'' Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov
arXiv 2022. [Paper]
6 Dec 2022
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu
arXiv 2022. [Paper]
6 Dec 2022
ADIR: Adaptive Diffusion for Image Reconstruction
Shady Abu-Hussein, Tom Tirer, Raja Giryes
arXiv 2022. [Paper] [Project]
6 Dec 2022
M-VADER: A Model for Diffusion with Multimodal Context
Samuel Weinbach1, Marco Bellagente1, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Björn Deiseroth, Koen Oostermeijer, Hannah Teufel, Andres Felipe Cruz-Salinas
arXiv 2022. [Paper]
6 Dec 2022
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang
arXiv 2022. [Paper]
6 Dec 2022
Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models
Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel
arXiv 2022. [Paper] [Project]
1 Dec 2022
Shape-Guided Diffusion with Inside-Outside Attention
Dong Huk Park1, Grace Luo1, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell
arXiv 2022. [Paper] [Project]
1 Dec 2022
SinDDM: A Single Image Denoising Diffusion Model
Vladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli
arXiv 2022. [Paper] [Project]
29 Nov 2022
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
Gwanghyun Kim, Se Young Chun
arXiv 2022. [Paper] [Github]
29 Nov 2022
Unified Discrete Diffusion for Simultaneous Vision-Language Generation
Minghui Hu, Chuanxia Zheng, Heliang Zheng, Tat-Jen Cham, Chaoyue Wang, Zuopeng Yang, Dacheng Tao, Ponnuthurai N. Suganthan
arXiv 2022. [Paper]
27 Nov 2022
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models
Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao
arXiv 2022. [Paper]
25 Nov 2022
SpaText: Spatio-Textual Representation for Controllable Image Generation
Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, Xi Yin
arXiv 2022. [Paper] [Project]
25 Nov 2022
Sketch-Guided Text-to-Image Diffusion Models
Andrey Voynov, Kfir Aberman, Daniel Cohen-Or
arXiv 2022. [Paper] [Project]
24 Nov 2022
Shifted Diffusion for Text-to-image Generation
Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
arXiv 2022. [Paper]
24 Nov 2022
EDICT: Exact Diffusion Inversion via Coupled Transformations
Bram Wallace, Akash Gokul, Nikhil Naik
arXiv 2022. [Paper]
22 Nov 2022
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Narek Tumanyan1, Michal Geyer1, Shai Bagon, Tali Dekel
arXiv 2022. [Paper]
22 Nov 2022
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark
Vitali Petsiuk, Alexander E. Siemenn, Saisamrit Surbehera, Zad Chin, Keith Tyser, Gregory Hunter, Arvind Raghavan, Yann Hicke, Bryan A. Plummer, Ori Kerret, Tonio Buonassisi, Kate Saenko, Armando Solar-Lezama, Iddo Drori
NeurIPS 2022. [Paper]
22 Nov 2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li
arXiv 2022. [Paper] [Github]
22 Nov 2022
SinFusion: Training Diffusion Models on a Single Image or Video
Yaniv Nikankin, Niv Haim, Michal Irani
arXiv 2022. [Paper]
21 Nov 2022
Investigating Prompt Engineering in Diffusion Models
Sam Witteveen, Martin Andrews
arXiv 2022. [Paper]
21 Nov 2022
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
Ajay Jain1, Amber Xie1, Pieter Abbeel
arXiv 2022. [Paper] [Project]
21 Nov 2022
DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization
Nisha Huang, Yuxin Zhang, Fan Tang, Chongyang Ma, Haibin Huang, Yong Zhang, Weiming Dong, Changsheng Xu
arXiv 2022. [Paper]
19 Nov 2022
Magic3D: High-Resolution Text-to-3D Content Creation
Chen-Hsuan Lin1, Jun Gao1, Luming Tang1, Towaki Takikawa1, Xiaohui Zeng1, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
arXiv 2022. [Paper] [Project]
18 Nov 2022
Invariant Learning via Diffusion Dreamed Distribution Shifts
Priyatham Kattakinda, Alexander Levine, Soheil Feizi
arXiv 2022. [Paper]
18 Nov 2022
Null-text Inversion for Editing Real Images using Guided Diffusion Models
Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, Daniel Cohen-Or
arXiv 2022. [Paper]
17 Nov 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions
Tim Brooks, Aleksander Holynski, Alexei A. Efros
arXiv 2022. [Paper]
17 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
Xingqian Xu, Zhangyang Wang, Eric Zhang, Kai Wang, Humphrey Shi
arXiv 2022. [Paper] [Github]
15 Nov 2022
Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion Models
Adham Elarabawy, Harish Kamath, Samuel Denton
arXiv 2022. [Paper]
15 Nov 2022
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation
Zhihong Pan, Xin Zhou, Hao Tian
arXiv 2022. [Paper]
14 Nov 2022
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
Patrick Schramowski, Manuel Brack, Björn Deiseroth, Kristian Kersting
arXiv 2022. [Paper] [Github]
9 Nov 2022
Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models
Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
arXiv 2022. [Paper] [Github]
4 Nov 2022
eDiffi: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu
arXiv 2022. [Paper] [Github]
2 Nov 2022
MagicMix: Semantic Mixing with Diffusion Models
Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng
arXiv 2022. [Paper] [Project]
28 Oct 2022
UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance
Wei Li, Xue Xu, Xinyan Xiao, Jiachen Liu, Hu Yang, Guohao Li, Zhanpeng Wang, Zhifan Feng, Qiaoqiao She, Yajuan Lyu, Hua Wu
arXiv 2022. [Paper]
28 Oct 2022
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
Hritik Bansal1, Da Yin1, Masoud Monajatipoor, Kai-Wei Chang
EMNLP 2022. [Paper] [Github]
27 Oct 2022
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts
Zhida Feng1, Zhenyu Zhang1, Xintong Yu1, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
arXiv 2022. [Paper]
27 Oct 2022
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau
arXiv 2022. [Paper] [Project]
26 Oct 2022
Lafite2: Few-shot Text-to-Image Generation
Yufan Zhou, Chunyuan Li, Changyou Chen, Jianfeng Gao, Jinhui Xu
arXiv 2022. [Paper]
25 Oct 2022
High-Resolution Image Editing via Multi-Stage Blended Diffusion
Johannes Ackermann, Minjun Li
NeurIPS Workshop 2022. [Paper] [Github]
24 Oct 2022
Conditional Diffusion with Less Explicit Guidance via Model Predictive Control
Max W. Shen, Ehsan Hajiramezanali, Gabriele Scalia, Alex Tseng, Nathaniel Diamant, Tommaso Biancalani, Andreas Loukas
arXiv 2022. [Paper]
21 Oct 2022
A Visual Tour Of Current Challenges In Multimodal Language Models
Shashank Sonkar, Naiming Liu, Richard G. Baraniuk
arXiv 2022. [Paper]
22 Oct 2022
DiffEdit: Diffusion-based semantic image editing with mask guidance
Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord
arXiv 2022. [Paper]
20 Oct 2022
Diffusion Models already have a Semantic Latent Space
Mingi Kwon, Jaeseok Jeong, Youngjung Uh
arXiv 2022. [Paper] [Project]
20 Oct 2022
UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image
Dani Valevski, Matan Kalman, Yossi Matias, Yaniv Leviathan
arXiv 2022. [Paper]
18 Oct 2022
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation
Ruijun Li, Weihua Li, Yi Yang, Hanyu Wei, Jianhua Jiang, Quan Bai
arXiv 2022. [Paper]
18 Oct 2022
Imagic: Text-Based Real Image Editing with Diffusion Models
Bahjat Kawar1, Shiran Zada1, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani
arXiv 2022. [Paper]
17 Oct 2022
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
Chaerin Kong, DongHyeon Jeon, Ohjoon Kwon, Nojun Kwak
arXiv 2022. [Paper]
12 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
Chen Henry Wu, Fernando De la Torre
arXiv 2022. [Paper] [Github-1] [Github-2]
11 Oct 2022
Imagen Video: High Definition Video Generation with Diffusion Models
Jonathan Ho1, William Chan1, Chitwan Saharia1, Jay Whang1, Ruiqi Gao, Alexey Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans
arXiv 2022. [Paper]
5 Oct 2022
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
Ivan Kapelyukh, Vitalis Vosylius, Edward Johns
arXiv 2022. [Paper]
5 Oct 2022
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models
Paramanand Chandramouli, Kanchana Vaishnavi Gandikota
arXiv 2022. [Paper]
5 Oct 2022
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP
Justin N. M. Pinkney, Chuan Li
BMVC 2022. [Paper] [Github]
5 Oct 2022
Membership Inference Attacks Against Text-to-image Generation Models
Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang
arXiv 2022. [Paper]
3 Oct 2022
Make-A-Video: Text-to-Video Generation without Text-Video Data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, Yaniv Taigman
arXiv 2022. [Paper]
29 Sep 2022
DreamFusion: Text-to-3D using 2D Diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
arXiv 2022. [Paper] [Github]
29 Sep 2022
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen
arXiv 2022. [Paper]
29 Sep 2022
Creative Painting with Latent Diffusion Models
Xianchao Wu
arXiv 2022. [Paper]
29 Sep 2022
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion
Nisha Huang, Fan Tang, Weiming Dong, Changsheng Xu
arXiv 2022. [Paper] [Github]
27 Sep 2022
Personalizing Text-to-Image Generation via Aesthetic Gradients
Victor Gallego
NeurIPS 2022. [Paper] [Github]
25 Sep 2022
Best Prompts for Text-to-Image Models and How to Find Them
Nikita Pavlichenko, Dmitry Ustalov
arXiv 2022. [Paper]
23 Sep 2022
The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models
Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
arXiv 2022. [Paper] [Github]
19 Sep 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre
NeurIPS 2022. [Paper] [Github]
14 Sep 2022
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
ICLR 2023. [Paper] [Github]
9 Sep 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman
arXiv 2022. [Paper] [Project] [Github]
25 Aug 2022
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models
Robin Rombach1, Andreas Blattmann1, Björn Ommer
arXiv 2022. [Paper] [Github]
26 Jul 2022
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
arXiv 2022. [Paper] [Github]
15 Jun 2022
Blended Latent Diffusion
Omri Avrahami, Ohad Fried, Dani Lischinski
ACM 2022. [Paper] [Project] [Github]
6 Jun 2022
Compositional Visual Generation with Composable Diffusion Models
Nan Liu1, Shuang Li1, Yilun Du1, Antonio Torralba, Joshua B. Tenenbaum
ECCV 2022. [Paper] [Project] [Github]
3 Jun 2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
Jie Shi1, Chenfei Wu1, Jian Liang, Xiang Liu, Nan Duan
arXiv 2022. [Paper]
1 Jun 2022
Improved Vector Quantized Diffusion Models
Zhicong Tang, Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen
arXiv 2022. [Paper] [Github]
31 May 2022
Text2Human: Text-Driven Controllable Human Image Generation
Yuming Jiang, Shuai Yang, Haonan Qiu, Wayne Wu, Chen Change Loy, Ziwei Liu
ACM 2022. [Paper] [Github]
31 May 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia1, William Chan1, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, Mohammad Norouzi
NeurIPS 2022. [Paper] [Github]
23 May 2022
Retrieval-Augmented Diffusion Models
Andreas Blattmann1, Robin Rombach1, Kaan Oktay, Björn Ommer
arXiv 2022. [Paper] [Github]
25 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen
arXiv 2022. [Paper] [Github]
13 Apr 2022
KNN-Diffusion: Image Generation via Large-Scale Retrieval
Oron Ashual, Shelly Sheynin, Adam Polyak, Uriel Singer, Oran Gafni, Eliya Nachmani, Yaniv Taigman
arXiv 2022. [Paper]
6 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach1, Andreas Blattmann1, Dominik Lorenz, Patrick Esser, Björn Ommer
CVPR 2022. [Paper] [Github]
20 Dec 2021
More Control for Free! Image Synthesis with Semantic Diffusion Guidance
Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell
arXiv 2021. [Paper] [Project]
10 Dec 2021
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, Baining Guo
CVPR 2022. [Paper] [Github]
29 Nov 2021
Blended Diffusion for Text-driven Editing of Natural Images
Omri Avrahami, Dani Lischinski, Ohad Fried
CVPR 2022. [Paper] [Project] [Github]
29 Nov 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao, Karsten Kreis, Arash Vahdat
ICLR 2022 (Spotlight). [Paper] [Project]
15 Dec 2021
DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models
Gwanghyun Kim, Jong Chul Ye
CVPR 2022. [Paper]
6 Oct 2021
A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data
Chi-en Amy Tai, Hayden Gunraj, Alexander Wong
arXiv 2023. [Paper]
12 Apr 2023
Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging
Chi-en Amy Tai, Hayden Gunraj, Alexander Wong
arXiv 2023. [Paper]
12 Apr 2023
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
Zhuo-Xu Cui, Chentao Cao, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu
arXiv 2023. [Paper]
11 Apr 2023
Mask-conditioned latent diffusion for generating gastrointestinal polyp images
Roman Macháček1, Leila Mozaffari1, Zahra Sepasdar, Sravanthi Parasa, Pål Halvorsen, Michael A. Riegler, Vajira Thambawita
arXiv 2023. [Paper]
11 Apr 2023
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation
Tao Chen, Chenhui Wang, Hongming Shan
arXiv 2023. [Paper]
10 Apr 2023
Ambiguous Medical Image Segmentation using Diffusion Models
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M Patel
CVPR 2023. [Paper] [Github]
10 Apr 2023
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
Kun Han, Yifeng Xiong, Chenyu You, Pooya Khosravi, Shanlin Sun, Xiangyi Yan, James Duncan, Xiaohui Xie
arxiv 2023. [Paper] [Project]
8 Apr 2023
Towards Realistic Ultrasound Fetal Brain Imaging Synthesis
Michelle Iskandar, Harvey Mannering, Zhanxiang Sun, Jacqueline Matthew, Hamideh Kerdegari, Laura Peralta, Miguel Xochicale
arXiv 2023. [Paper] [Gitub]
8 Apr 2023
Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior
Kaiwen Xu, Aravind R. Krishnan, Thomas Z. Li, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
arXiv 2023. [Paper]
7 Apr 2023
Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models
Yunxiang Li, Hua-Chieh Shao, Xiao Liang, Liyuan Chen, Ruiqi Li, Steve Jiang, Jing Wang, You Zhang
arXiv 2023. [Paper]
5 Apr 2023
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan
arXiv 2023. [Paper]
4 Apr 2023
ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis
Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna
MICCAI 2023. [Paper]
3 Apr 2023
Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models
Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
arXiv 2023. [Paper]
31 Mar 2023
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding
Xiaoyue Li, Kai Shang, Gaoang Wang, Mark D. Butala
arXiv 2023. [Paper]
28 Mar 2023
Diffusion Models for Memory-efficient Processing of 3D Medical Images
Florentin Bieder, Julia Wolleb, Alicia Durrer, Robin Sandkühler, Philippe C. Cattin
MIDL 2023. [Paper]
27 Mar 2023
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma
Xiaofei Wang, Stephen Price, Chao Li
arXiv 2023. [Paper]
26 Mar 2023
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis
Lan Jiang, Ye Mao, Xi Chen, Xiangfeng Wang, Chao Li
arXiv 2023. [Paper]
24 Mar 2023
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
Ye Mao1, Lan Jiang1, Xi Chen, Chao Li
arXiv 2023. [Paper]
23 Mar 2023
Medical diffusion on a budget: textual inversion for medical image generation
Bram de Wilde, Anindo Saha, Richard P.G. ten Broek, Henkjan Huisman
arXiv 2023. [Paper]
23 Mar 2023
Sub-volume-based Denoising Diffusion Probabilistic Model for Cone-beam CT Reconstruction from Incomplete Data
Wenjun Xia, Chuang Niu, Wenxiang Cong, Ge Wang
arXiv 2023. [Paper]
22 Mar 2023
Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis
Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski, Thomas Day, Reza Razavi, Alberto Gomez, Paul Leeson, Bernhard Kainz
arXiv 2023. [Paper]
22 Mar 2023
Distribution Aligned Diffusion and Prototype-guided network for Unsupervised Domain Adaptive Segmentation
Haipeng Zhou, Lei Zhu, Yuyin Zhou
arXiv 2023. [Paper]
22 Mar 2023
Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading
Matthias Keicher, Matan Atad, David Schinz, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Nassir Navab
arXiv 2023. [Paper]
21 Mar 2023
NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models
Aman Shrivastava, P. Thomas Fletcher
arXiv 2023. [Paper]
20 Mar 2023
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
arXiv 2023. [Paper]
20 Mar 2023
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Yijun Yang, Huazhu Fu, Angelica Aviles-Rivero, Carola-Bibiane Schönlieb, Lei Zhu
arXiv 2023. [Paper]
19 Mar 2023
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
Zhaohu Xing, Liang Wan, Huazhu Fu, Guang Yang, Lei Zhu
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18 Mar 2023
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
Cosmin I Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A Schnabel
arXiv 2023. [Paper]
15 Mar 2023
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
Suhyeon Lee1, Hyungjin Chung1, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye
arXiv 2023. [Paper]
15 Mar 2023
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels
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15 Mar 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models
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arXiv 2023. [Paper] [Github]
15 Mar 2023
Diffusion Models for Contrast Harmonization of Magnetic Resonance Images
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14 Mar 2023
Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection
Nikhil J. Dhinagar, Sophia I. Thomopoulos, Emily Laltoo, Paul M. Thompson
arXiv 2023. [Paper]
14 Mar 2023
Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays
Ibrahim Ethem Hamamci, Sezgin Er, Enis Simsar, Anjany Sekuboyina, Mustafa Gundogar, Bernd Stadlinger, Albert Mehl, Bjoern Menze
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11 Mar 2023
AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image
Zhuchen Shao, Liuxi Dai, Yifeng Wang, Haoqian Wang, Yongbing Zhang
arXiv 2023. [Paper]
11 Mar 2023
Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline
Xuhang Chen, Baiying Lei, Chi-Man Pun, Shuqiang Wang
arXiv 2023. [Paper]
11 Mar 2023
Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition
Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
arXiv 2023. [Paper]
10 Mar 2023
Generalized Diffusion MRI Denoising and Super-Resolution using Swin Transformers
Amir Sadikov, Jamie Wren-Jarvis, Xinlei Pan, Lanya T. Cai, Pratik Mukherjee
arXiv 2023. [Paper]
10 Mar 2023
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation
Yunguan Fu, Yiwen Li, Shaheer U. Saeed, Matthew J. Clarkson, Yipeng Hu
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10 Mar 2023
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI
Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer
MIDL 2023. [Paper]
7 Mar 2023
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion
Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu
arXiv 2023. [Paper]
3 Mar 2023
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection
Jian Shi, Pengyi Zhang, Ni Zhang, Hakim Ghazzai, Yehia Massoud
arXiv 2023. [Paper]
28 Feb 2023
DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
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ICLR 2023. [Paper] [Github]
6 Feb 2023
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion
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31 Jan 2023
Diffusion Denoising for Low-Dose-CT Model
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arXiv 2023. [Paper]
27 Jan 2023
DiffusionCT: Latent Diffusion Model for CT Image Standardization
Md Selim, Jie Zhang, Michael A. Brooks, Ge Wang, Jin Chen
arXiv 2023. [Paper]
20 Jan 2023
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer
Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yanwu Xu
arXiv 2023. [Paper]
19 Jan 2023
The role of noise in denoising models for anomaly detection in medical images
Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia S. Mikhael, Jeremy P. Voisey, Keith Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil
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19 Jan 2023
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction
Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye
arXiv 2023. [Paper]
8 Jan 2023
Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets
Dennis Eschweiler, Johannes Stegmaier
arXiv 2023. [Paper]
2 Jan 2023
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
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arXiv 2023. [Paper]
1 Jan 2023
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation
Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li
arXiv 2022. [Paper]
16 Dec 2022
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging
Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu
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15 Dec 2022
SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging
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arXiv 2022. [Paper]
14 Dec 2022
Diffusion Probabilistic Models beat GANs on Medical Images
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14 Dec 2022
One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging
Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu
arXiv 2022. [Paper]
7 Dec 2022
Improving dermatology classifiers across populations using images generated by large diffusion models
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NeurIPS Workshop 2022. [Paper]
23 Nov 2022
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
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arXiv 2022. [Paper]
23 Nov 2022
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
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22 Nov 2022
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models
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arXiv 2022. [Paper]
19 Nov 2022
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction
Wenjun Xia, Wenxiang Cong, Ge Wang
arXiv 2022. [Paper]
18 Nov 2022
Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields
Xie Taofeng1, Cao Chentao1, Cui Zhuoxu, Li Fanshi, Wei Zidong, Zhu Yanjie, Li Ye, Liang Dong, Jin Qiyu, Chen Guoqing, Wang Haifeng
arXiv 2022. [Paper]
16 Nov 2022
Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks
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arXiv 2022. [Paper]
11 Nov 2022
An unobtrusive quality supervision approach for medical image annotation
Sonja Kunzmann, Mathias Öttl, Prathmesh Madhu, Felix Denzinger, Andreas Maier
arXiv 2022. [Paper]
11 Nov 2022
Medical Diffusion -- Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Schulze-Hagen, Philipp Schad, Sandy Engelhardt, Bettina Baessler, Sebastian Foersch, Johannes Stegmaier, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn
arXiv 2022. [Paper]
7 Nov 2022
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems
Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier
arXiv 2022. [Paper]
2 Nov 2022
Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models
Hazrat Ali, Shafaq Murad, Zubair Shah
arXiv 2022. [Paper] [Project]
2 Nov 2022
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Junde Wu, Huihui Fang, Yu Zhang, Yehui Yang, Yanwu Xu
arXiv 2022. [Paper]
1 Nov 2022
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation
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arXiv 2022. [Paper]
27 Oct 2022
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report
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arXiv 2022. [Paper] [Github]
21 Oct 2022
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arXiv 2022. [Paper]
9 Oct 2022
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation
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BMVC 2022. [Paper]
4 Oct 2022
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20× Speedup
Wenjun Xia, Qing Lyu, Ge Wang
arXiv 2022. [Paper]
29 Sep 2022
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation
Boah Kim1, Yujin Oh1, Jong Chul Ye
arXiv 2022. [Paper]
29 Sep 2022
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models
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arXiv 2022. [Paper]
24 Sep 2022
Brain Imaging Generation with Latent Diffusion Models
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arXiv 2022. [Paper]
15 Sep 2022
PET image denoising based on denoising diffusion probabilistic models
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arXiv 2022. [Paper]
13 Sep 2022
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction
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IEEE TMI 2022. [Paper]
2 Sep 2022
High-Frequency Space Diffusion Models for Accelerated MRI
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arXiv 2022. [Paper]
10 Aug 2022
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization
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MICCAI 2022. [Paper] [Github]
25 Jul 2022
Unsupervised Medical Image Translation with Adversarial Diffusion Models
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arXiv 2022. [Paper]
17 Jul 2022
Adaptive Diffusion Priors for Accelerated MRI Reconstruction
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12 Jul 2022
A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion
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arXiv 2022. [Paper]
7 Jul 2022
Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease
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arXiv 2022. [Paper]
20 Jun 2022
Diffusion Deformable Model for 4D Temporal Medical Image Generation
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MICCAI 2022. [Paper] [Github]
27 Jun 2022
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
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MICCAI 2022. [Paper]
7 Jun 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints
Hyungjin Chung1, Byeongsu Sim1, Dohoon Ryu, Jong Chul Ye
arXiv 2022. [Paper]
2 Jun 2022
AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
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CVPR Workshop 2022. [Paper] [Github]
1 Jun 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
Julia Wolleb1, Robin Sandkühler1, Florentin Bieder, Philippe C. Cattin
arXiv 2022. [Paper]
6 Apr 2022
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion
Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
arXiv 2022. [Paper]
23 Mar 2022
Diffusion Models for Medical Anomaly Detection
Julia Wolleb, Florentin Bieder, Robin Sandkühler, Philippe C. Cattin
MICCAI 2022. [Paper] [Github]
8 Mar 2022
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling
Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa
arXiv 2022. [Paper] [Github]
8 Mar 2022
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction
Yutong Xie, Quanzheng Li
MICCAI 2022. [Paper] [Github]
5 Mar 2022
MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation
Guanxiong Luo, Martin Heide, Martin Uecker
arXiv 2022. [Paper] [Github]
3 Feb 2022
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
Dewei Hu, Yuankai K. Tao, Ipek Oguz
arXiv 2022. [Paper] [Github]
27 Jan 2022
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction
Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
CVPR 2021. [Paper]
9 Dec 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song1, Liyue Shen1, Lei Xing, Stefano Ermon
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15 Nov 2021
Score-based diffusion models for accelerated MRI
Hyungjin Chung, Jong chul Ye
MIA 2021. [Paper] [Github]
8 Oct 2021
Learning Controllable 3D Diffusion Models from Single-view Images
Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh Susskind
arXiv 2023. [Paper] [Project]
13 Apr 2023
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su
arXiv 2023. [Paper] [Project]
13 Apr 2023
InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions
Han Liang, Wenqian Zhang, Wenxuan Li, Jingyi Yu, Lan Xu
arXiv 2023. [Paper]
12 Apr 2023
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang
arXiv 2023. [Paper] [Project]
12 Apr 2023
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Mohammadreza Armandpour, Huangjie Zheng, Ali Sadeghian, Amir Sadeghian, Mingyuan Zhou
arXiv 2023. [Paper]
11 Apr 2023
DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model
Hoigi Seo1, Hayeon Kim1, Gwanghyun Kim, Se Young Chun
arXiv 2023. [Paper] [Project]
6 Apr 2023
Generative Novel View Synthesis with 3D-Aware Diffusion Models
Eric R. Chan1, Koki Nagano1, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein
arXiv 2023. [Paper] [Project]
5 Apr 2023
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany
CVPR 2023. [Paper] [Github]
4 Apr 2023
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion
Gwanghyun Kim, Ji Ha Jang, Se Young Chun
arXiv 2023. [Paper] [Project]
4 Apr 2023
ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu
arXiv 2023. [Paper] [Project] [Github]
3 Apr 2023
Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models
Wenjie Yin, Ruibo Tu, Hang Yin, Danica Kragic, Hedvig Kjellström, Mårten Björkman
arXiv 2023. [Paper]
3 Apr 2023
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models
Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, Kwan-Yee K. Wong
arXiv 2023. [Paper]
3 Apr 2023
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
Longwen Zhang1, Qiwei Qiu1, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, Jingyi Yu
arXiv 2023. [Paper] [Project]
1 Apr 2023
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
arXiv 2023. [Paper] [Project] [Github]
30 Mar 2023
HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images
Animesh Karnewar, Andrea Vedaldi, David Novotny, Niloy Mitra
CVPR 2023. [Paper] [Project]
29 Mar 2023
4D Facial Expression Diffusion Model
Kaifeng Zou, Sylvain Faisan, Boyang Yu, Sébastien Valette, Hyewon Seo
arXiv 2023. [Paper] [Github]
29 Mar 2023
Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion
Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, Takuya Narihira
arXiv 2023. [Paper] [Github]
28 Mar 2023
Novel View Synthesis of Humans using Differentiable Rendering
Guillaume Rochette, Chris Russell, Richard Bowden
IEEE T-BIOM 2023. [Paper] [Github]
28 Mar 2023
Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation
Susung Hong1, Donghoon Ahn1, Seungryong Kim
arXiv 2023. [Paper]
27 Mar 2023
Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
Junshu Tang, Tengfei Wang, Bo Zhang, Ting Zhang, Ran Yi, Lizhuang Ma, Dong Chen
arXiv 2023. [Paper] [Github]
24 Mar 2023
ISS++: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
arXiv 2023. [Paper]
24 Mar 2023
CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout
Yiqi Lin1, Haotian Bai1, Sijia Li, Haonan Lu, Xiaodong Lin, Hui Xiong, Lin Wang
arXiv 2023. [Paper] [Project]
24 Mar 2023
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia
arXiv 2023. [Paper]
24 Mar 2023
DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video
Ce Zheng, Guo-Jun Qi, Chen Chen
arXiv 2023. [Paper]
23 Mar 2023
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa
arXiv 2023. [Paper] [Project]
22 Mar 2023
FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models
Jianglong Ye, Naiyan Wang, Xiaolong Wang
arXiv 2023. [Paper] [Project]
22 Mar 2023
Vox-E: Text-guided Voxel Editing of 3D Objects
Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor
arXiv 2023. [Paper] [Project]
21 Mar 2023
Compositional 3D Scene Generation using Locally Conditioned Diffusion
Ryan Po, Gordon Wetzstein
arXiv 2023. [Paper] [Github]
21 Mar 2023
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao
arXiv 2023. [Paper] [Github]
21 Mar 2023
3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion
Yu-Jhe Li, Kris Kitani
arXiv 2023. [Paper]
21 Mar 2023
Affordance Diffusion: Synthesizing Hand-Object Interactions
Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu
CVPR 2023. [Paper] [Project]
21 Mar 2023
SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation
Juil Koo1, Seungwoo Yoo1, Minh Hieu Nguyen1, Minhyuk Sung
arXiv 2023. [Paper] [Project]
21 Mar 2023
Learning a 3D Morphable Face Reflectance Model from Low-cost Data
Yuxuan Han, Zhibo Wang, Feng Xu
CVPR 2023. [Paper] [Project]
21 Mar 2023
Text2Tex: Text-driven Texture Synthesis via Diffusion Models
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner
arXiv 2023. [Paper] [Project]
20 Mar 2023
Zero-1-to-3: Zero-shot One Image to 3D Object
Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick
arXiv 2023. [Paper] [Project] [Github]
20 Mar 2023
SKED: Sketch-guided Text-based 3D Editing
Aryan Mikaeili, Or Perel, Daniel Cohen-Or, Ali Mahdavi-Amiri
arxiv 2023. [Paper]
19 Mar 2023
3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process
Yuhan Li, Yishun Dou, Xuanhong Chen, Bingbing Ni, Yilin Sun, Yutian Liu, Fuzhen Wang
CVPR 2023. [Paper] [Github]
18 Mar 2023
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation
Lingting Zhu1, Xian Liu1, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu
CVPR 2023. [Paper] [Github]
16 Mar 2023
Diffusion-HPC: Generating Synthetic Images with Realistic Humans
Zhenzhen Weng, Laura Bravo-Sánchez, Serena Yeung
arXiv 2023. [Paper] [Github]
16 Mar 2023
DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars
David Svitov, Dmitrii Gudkov, Renat Bashirov, Victor Lempitsky
arXiv 2023. [Paper]
16 Mar 2023
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
Suhyeon Lee1, Hyungjin Chung1, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye
arXiv 2023. [Paper]
15 Mar 2023
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models
Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang, Dahua Lin, Bo Dai
CVPR 2023. [Paper] [Project]
14 Mar 2023
MeshDiffusion: Score-based Generative 3D Mesh Modeling
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
ICLR 2023. [Paper] [Project] [Github]
14 Mar 2023
Point Cloud Diffusion Models for Automatic Implant Generation
Paul Friedrich, Julia Wolleb, Florentin Bieder, Florian M. Thieringer, Philippe C. Cattin
arXiv 2023. [Paper]
14 Mar 2023
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Junyoung Seo1, Wooseok Jang1, Min-Seop Kwak1, Jaehoon Ko, Hyeonsu Kim, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, Seungryong Kim
arXiv 2023. [Paper]
14 Mar 2023
GECCO: Geometrically-Conditioned Point Diffusion Models
Michał J. Tyszkiewicz, Pascal Fua, Eduard Trulls
arXiv 2023. [Paper]
10 Mar 2023
3DGen: Triplane Latent Diffusion for Textured Mesh Generation
Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, Barlas Oğuz
arXiv 2023. [Paper]
9 Mar 2023
Human Motion Diffusion as a Generative Prior
Yonatan Shafir1, Guy Tevet1, Roy Kapon, Amit H. Bermano
arXiv 2023. [Paper]
2 Mar 2023
Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?
Hyemin Ahn, Esteve Valls Mascaro, Dongheui Lee
arXiv 2023. [Paper] [Project] [Github]
28 Feb 2023
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
Jamie Wynn, Daniyar Turmukhambetov
arXiv 2023. [Paper] [Github]
23 Feb 2023
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction
Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi
arXiv 2023. [Paper] Project]
23 Feb 2023
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi
arXiv 2023. [Paper] [Github]
20 Feb 2023
SinMDM: Single Motion Diffusion
Sigal Raab1, Inbal Leibovitch1, Guy Tevet, Moab Arar, Amit H. Bermano, Daniel Cohen-Or
arXiv 2023. [Paper] [Project]
12 Feb 2023
3D Colored Shape Reconstruction from a Single RGB Image through Diffusion
Bo Li, Xiaolin Wei, Fengwei Chen, Bin Liu
arXiv 2023. [Paper]
11 Feb 2023
HumanMAC: Masked Motion Completion for Human Motion Prediction
Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, Tongliang Liu
arXiv 2023. [Paper] [Project] [Github]
7 Feb 2023
TEXTure: Text-Guided Texturing of 3D Shapes
Elad Richardson1, Gal Metzer1, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
3 Feb 2023
Zero3D: Semantic-Driven Multi-Category 3D Shape Generation
Bo Han, Yitong Liu, Yixuan Shen
arXiv 2023. [Paper]
31 Jan 2023
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation
Jingyu Hu1, Ka-Hei Hui1, Zhengzhe Liu, Ruihui Li, Chi-Wing Fu
arXiv 2023. [Paper]
1 Feb 2023
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
Biao Zhang, Jiapeng Tang, Matthias Niessner, Peter Wonka
arXiv 2023. [Paper]
26 Jan 2023
DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model
Fan Zhang, Naye Ji, Fuxing Gao, Yongping Li
arXiv 2023. [Paper]
24 Jan 2023
Bipartite Graph Diffusion Model for Human Interaction Generation
Baptiste Chopin, Hao Tang, Mohamed Daoudi
arXiv 2023. [Paper]
24 Jan 2023
Diffusion-based Generation, Optimization, and Planning in 3D Scenes
Siyuan Huang1, Zan Wang1, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, Song-Chun Zhu
arXiv 2023. [Paper] [Project]
15 Jan 2023
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models
Mengyi Zhao, Mengyuan Liu, Bin Ren, Shuling Dai, Nicu Sebe
arXiv 2023. [Paper]
10 Jan 2023
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data
Jumin Lee, Woobin Im, Sebin Lee, Sung-Eui Yoon
arXiv 2023. [Paper] [Github]
2 Jan 2023
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models
Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao
arXiv 2022. [Paper] [Project]
28 Dec 2022
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
Alex Nichol1, Heewoo Jun1, Prafulla Dhariwal, Pamela Mishkin, Mark Chen
arXiv 2022. [Paper] [Github]
16 Dec 2022
Real-Time Rendering of Arbitrary Surface Geometries using Learnt Transfer
Sirikonda Dhawal, Aakash KT, P.J. Narayanan
arXiv 2022. [Paper]
19 Dec 2022
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
Ziyi Chang, Edmund J. C. Findlay, Haozheng Zhang, Hubert P. H. Shum
arXiv 2022. [Paper]
16 Dec 2022
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
Tengfei Wang1, Bo Zhang1, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo
arXiv 2022. [Paper] [Project]
12 Dec 2022
Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models
Jiabao Lei, Jiapeng Tang, Kui Jia
arXiv 2022. [Paper] [Project]
12 Dec 2022
Ego-Body Pose Estimation via Ego-Head Pose Estimation
Jiaman Li, C. Karen Liu, Jiajun Wu
arXiv 2022. [Paper]
9 Dec 2022
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, Christian Theobalt
arXiv 2022. [Paper] [Project]
8 Dec 2022
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander Schwing, Liangyan Gui
arXiv 2022. [Paper] [Project]
8 Dec 2022
Executing your Commands via Motion Diffusion in Latent Space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu
arXiv 2022. [Paper] [Project]
8 Dec 2022
Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation
Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Xiu Li
arXiv 2022. [Paper]
7 Dec 2022
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
Congyue Deng, Chiyu "Max'' Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov
arXiv 2022. [Paper]
6 Dec 2022
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu
arXiv 2022. [Paper]
6 Dec 2022
Pretrained Diffusion Models for Unified Human Motion Synthesis
Jianxin Ma, Shuai Bai, Chang Zhou
arXiv 2022. [Paper] [Project]
6 Dec 2022
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model
Jeongjun Choi, Dongseok Shim, H. Jin Kim
arXiv 2022. [Paper]
6 Dec 2022
PhysDiff: Physics-Guided Human Motion Diffusion Model
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz
arXiv 2022. [Paper] [Project]
5 Dec 2022
Fast Point Cloud Generation with Straight Flows
Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
arXiv 2022. [Paper]
4 Dec 2022
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner
arXiv 2022. [Paper] [Project]
2 Dec 2022
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models
Gimin Nam, Mariem Khlifi, Andrew Rodriguez, Alberto Tono, Linqi Zhou, Paul Guerrero
arXiv 2022. [Paper]
1 Dec 2022
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
Haochen Wang1, Xiaodan Du1, Jiahao Li1, Raymond A. Yeh, Greg Shakhnarovich
arXiv 2022. [Paper]
1 Dec 2022
SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction
Zhizhuo Zhou, Shubham Tulsiani
arXiv 2022. [Paper] [Github]
1 Dec 2022
3D Neural Field Generation using Triplane Diffusion
J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein
arXiv 2022. [Paper] [Project]
30 Nov 2022
DiffPose: Toward More Reliable 3D Pose Estimation
Jia Gong1, Lin Geng Foo1, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu
arXiv 2022. [Paper]
30 Nov 2022
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models
Karl Holmquist, Bastian Wandt
arXiv 2022. [Paper]
29 Nov 2022
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
Gwanghyun Kim, Se Young Chun
arXiv 2022. [Paper] [Github]
29 Nov 2022
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views
Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
arXiv 2022. [Paper] [Project]
29 Nov 2022
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion
Kui Zhang, Hang Zhou, Jie Zhang, Qidong Huang, Weiming Zhang, Nenghai Yu
arXiv 2022. [Paper]
29 Nov 2022
UDE: A Unified Driving Engine for Human Motion Generation
Zixiang Zhou, Baoyuan Wang
arXiv 2022. [Paper] [Project] [Github]
29 Nov 2022
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models
Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao
arXiv 2022. [Paper]
25 Nov 2022
DiffusionSDF: Conditional Generative Modeling of Signed Distance Functions
Gene Chou, Yuval Bahat, Felix Heide
arXiv 2022. [Paper]
24 Nov 2022
Tetrahedral Diffusion Models for 3D Shape Generation
Nikolai Kalischek, Torben Peters, Jan D. Wegner, Konrad Schindler
arXiv 2022. [Paper]
23 Nov 2022
IC3D: Image-Conditioned 3D Diffusion for Shape Generation
Cristian Sbrolli, Paolo Cudrano, Matteo Frosi, Matteo Matteucci
arXiv 2022. [Paper]
20 Nov 2022
Listen, denoise, action! Audio-driven motion synthesis with diffusion models
Simon Alexanderson, Rajmund Nagy, Jonas Beskow, Gustav Eje Henter
arXiv 2022. [Paper]
17 Nov 2022
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Titas Anciukevičius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero
arXiv 2022. [Paper] [Github]
17 Nov 2022
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
Gal Metzer1, Elad Richardson1, Or Patashnik, Raja Giryes, Daniel Cohen-Or
arXiv 2022. [Paper] [Github]
14 Nov 2022
ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction
Gyumin Shim1, Minsoo Lee1, Jaegul Choo
ACM 2022. [Paper]
9 Nov 2022
StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects
Weiyu Liu, Tucker Hermans, Sonia Chernova, Chris Paxton
arXiv 2022. [Paper]
8 Nov 2022
Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model
Zhiyuan Ren, Zhihong Pan, Xin Zhou, Le Kang
ICASSP 2023. [Paper]
22 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis
NeurIPS 2022. [Paper] [Project]
12 Oct 2022
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu
arXiv 2022. [Paper]
12 Oct 2022
A generic diffusion-based approach for 3D human pose prediction in the wild
Saeed Saadatnejad, Ali Rasekh, Mohammadreza Mofayezi, Yasamin Medghalchi, Sara Rajabzadeh, Taylor Mordan, Alexandre Alahi
arXiv 2022. [Paper]
11 Oct 2022
Novel View Synthesis with Diffusion Models
Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
arXiv 2022. [Paper]
6 Oct 2022
Neural Volumetric Mesh Generator
Yan Zheng, Lemeng Wu, Xingchao Liu, Zhen Chen, Qiang Liu, Qixing Huang
arXiv 2022. [Paper]
6 Oct 2022
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis
Edmund J. C. Findlay, Haozheng Zhang, Ziyi Chang, Hubert P. H. Shum
arXiv 2022. [Paper]
29 Sep 2022
Human Motion Diffusion Model
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Amit H. Bermano, Daniel Cohen-Or
arXiv 2022. [Paper] [Project]
29 Sep 2022
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
ICLR 2023. [Paper] [Github]
9 Sep 2022
SE(3)-DiffusionFields: Learning cost functions for joint grasp and motion optimization through diffusion
Julen Urain, Niklas Funk, Georgia Chalvatzaki, Jan Peters
arXiv 2022. [Paper] [Github]
8 Sep 2022
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data
Mao Ye, Lemeng Wu, Qiang Liu
NeruIPS 2022. [Paper]
2 Sep 2022
FLAME: Free-form Language-based Motion Synthesis & Editing
Jihoon Kim, Jiseob Kim, Sungjoon Choi
arXiv 2022. [Paper]
1 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models
Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
arXiv 2022. [Paper]
31 Aug 2022
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, Ziwei Liu
arXiv 2022. [Paper] [Project]
31 Aug 2022
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images
Dominik J. E. Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr
arXiv 2022. [Paper]
30 Aug 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition
Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao
arXiv 2022. [Paper]
21 Aug 2022
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin
ICLR 2022. [Paper] [Github]
7 Dec 2021
Score-Based Point Cloud Denoising
Shitong Luo, Wei Hu
ICCV 2021. [Paper] [Github]
23 Jul 2021
DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras
Ruizhi Shao, Zerong Zheng, Hongwen Zhang, Jingxiang Sun, Yebin Liu
ECCV 2022. [Paper] [Project] [Github]
16 Jul 2022
3D Shape Generation and Completion through Point-Voxel Diffusion
Linqi Zhou, Yilun Du, Jiajun Wu
ICCV 2021. [Paper] [Project]
8 Apr 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo, Wei Hu
CVPR 2021. [Paper] [Github]
2 Mar 2021
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion
Haomin Zhuang, Yihua Zhang, Sijia Liu
arXiv 2023. [Paper]
3 Apr 2023
Black-box Backdoor Defense via Zero-shot Image Purification
Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Ninghao Liu
arXiv 2023. [Paper]
21 Mar 2023
Adversarial Counterfactual Visual Explanations
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
arXiv 2023. [Paper]
17 Mar 2023
Robust Evaluation of Diffusion-Based Adversarial Purification
Minjong Lee, Dongwoo Kim
arXiv 2023. [Paper]
16 Mar 2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models
Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie
arXiv 2023. [Paper]
15 Mar 2023
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets
Weixin Chen, Dawn Song, Bo Li
arXiv 2023. [Paper] [Github]
10 Mar 2023
Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning
AprilPyone MaungMaung, Hitoshi Kiya
arXiv 2023. [Paper]
9 Mar 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images
Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle
arXiv 2023. [Paper]
27 Feb 2023
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy
Derui Zhu1, Dingfan Chen1, Jens Grossklags, Mario Fritz
arXiv 2023. [Paper]
15 Feb 2023
Raising the Cost of Malicious AI-Powered Image Editing
Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry
arXiv 2023. [Paper]
13 Feb 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
Chumeng Liang1, Xiaoyu Wu1, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
arXiv 2023. [Paper]
9 Feb 2023
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang1, Tianyu Pang1, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan
arXiv 2023. [Paper] [Github]
9 Feb 2023
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Tomoya Matsumoto, Takayuki Miura, Naoto Yanai
arXiv 2023. [Paper]
7 Feb 2023
MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders
Naser Damer, Meiling Fang, Patrick Siebke, Jan Niklas Kolf, Marco Huber, Fadi Boutros
arXiv 2023. [Paper]
3 Feb 2023
Extracting Training Data from Diffusion Models
Nicholas Carlini1, Jamie Hayes1, Milad Nasr1, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
arXiv 2023. [Paper]
2 Feb 2023
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu
arXiv 2023. [Paper]
2 Feb 2023
Salient Conditional Diffusion for Defending Against Backdoor Attacks
Brandon B. May1, N. Joseph Tatro1, Piyush Kumar, Nathan Shnidman
arXiv 2023. [Paper]
31 Jan 2023
Extracting Training Data from Diffusion Models
Nicholas Carlini1, Jamie Hayes1, Milad Nasr1, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
arXiv 2023. [Paper]
30 Jan 2023
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Hailong Hu, Jun Pang
arXiv 2023. [Paper]
24 Jan 2023
Denoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks
Lars Lien Ankile, Anna Midgley, Sebastian Weisshaar
arXiv 2023. [Paper] [Github]
17 Jan 2023
Fight Fire With Fire: Reversing Skin Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism
Yongwei Wang1, Yuan Li1, Zhiqi Shen
arXiv 2022. [Paper]
22 Aug 2022
DensePure: Understanding Diffusion Models towards Adversarial Robustness
Chaowei Xiao1, Zhongzhu Chen1, Kun Jin1, Jiongxiao Wang1, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
NeurIPS 2022. [Paper]
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Improving Adversarial Robustness by Contrastive Guided Diffusion Process
Yidong Ouyang, Liyan Xie, Guang Cheng
arXiv 2022. [Paper]
18 Oct 2022
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Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis
arXiv 2022. [Paper] [Project]
18 Oct 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition
Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao
arXiv 2022. [Paper]
21 Aug 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models
Tsachi Blau, Roy Ganz, Bahjat Kawar, Alex Bronstein, Michael Elad
arXiv 2022. [Paper]
17 Jul 2022
Back to the Source: Diffusion-Driven Test-Time Adaptation
Jin Gao1, Jialing Zhang1, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang
arXiv 2022. [Paper]
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Guided Diffusion Model for Adversarial Purification from Random Noise
Quanlin Wu, Hang Ye, Yuntian Gu
arXiv 2022. [Paper]
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Nicholas Carlini, Florian Tramer, Krishnamurthy (Dj)Dvijotham, J. Zico Kolter
arXiv 2022. [Paper]
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Guided Diffusion Model for Adversarial Purification
Jinyi Wang1, Zhaoyang Lyu1, Dahua Lin, Bo Dai, Hongfei Fu
ICML 2022. [Paper] [Github]
30 May 2022
Diffusion Models for Adversarial Purification
Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Anima Anandkumar
ICML 2022. [Paper] [Project] [Github]
16 May 2022
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models
Tijin Yan, Tong Zhou, Yufeng Zhan, Yuanqing Xia
arXiv 2021. [Paper]
20 Dec 2021
Adversarial purification with Score-based generative models
Jongmin Yoon, Sung Ju Hwang, Juho Lee
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11 Jun 2021
Exploring Diffusion Models for Unsupervised Video Anomaly Detection
Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci
arXiv 2023. [Paper]
12 Apr 2023
Improving Diffusion Models for Scene Text Editing with Dual Encoders
Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian Price, Shiyu Chang
arXiv 2023. [Paper] [Github]
12 Apr 2023
CamDiff: Camouflage Image Augmentation via Diffusion Model
Xue-Jing Luo, Shuo Wang, Zongwei Wu, Christos Sakaridis, Yun Cheng, Deng-Ping Fan, Luc Van Gool
arXiv 2023. [Paper] [Github]
11 Apr 2023
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion
ZiHan Cao, ShiQi Cao, Xiao Wu, JunMing Hou, Ran Ran, Liang-Jian Deng
arXiv 2023. [Paper]
10 Apr 2023
NeRF applied to satellite imagery for surface reconstruction
Federico Semeraro1, Yi Zhang1, Wenying Wu1, Patrick Carroll1
arXiv 2023. [Paper] [Github]
9 Apr 2023
CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion Model
Zhongqi Wang, Jie Zhang, Zhilong Ji, Jinfeng Bai, Shiguang Shan
arXiv 2023. [Paper]
9 Apr 2023
ChiroDiff: Modelling chirographic data with Diffusion Models
Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song
arXiv 2023. [Paper] [Project]
7 Apr 2023
RoSteALS: Robust Steganography using Autoencoder Latent Space
Tu Bui, Shruti Agarwal, Ning Yu, John Collomosse
arXiv 2023. [Paper] [Github]
6 Apr 2023
JPEG Compressed Images Can Bypass Protections Against AI Editing
Pedro Sandoval-Segura, Jonas Geiping, Tom Goldstein
arXiv 2023. [Paper]
5 Apr 2023
Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models
Carolina Higuera, Byron Boots, Mustafa Mukadam
arXiv 2023. [Paper]
3 Apr 2023
Textile Pattern Generation Using Diffusion Models
Halil Faruk Karagoz, Gulcin Baykal, Irem Arikan Eksi, Gozde Unal
ITFC 2023. [Paper]
2 Apr 2023
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
Roberto Amoroso1, Davide Morelli1, Marcella Cornia, Lorenzo Baraldi, Alberto Del Bimbo, Rita Cucchiara
ACM 2023. [Paper]
2 Apr 2023
NeuroDAVIS: A neural network model for data visualization
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arXiv 2023. [Paper]
1 Apr 2023
Diffusion Action Segmentation
Daochang Liu, Qiyue Li, AnhDung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
arXiv 2023. [Paper]
31 Mar 2023
One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models
Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, Stéphane Lathuilière
arXiv 2023. [Paper]
31 Mar 2023
DDP: Diffusion Model for Dense Visual Prediction
Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo
arXiv 2023. [Paper]
30 Mar 2023
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder
Chenpng Du, Qi Chen, Tianyu He, Xu Tan, Xie Chen, Kai Yu, Sheng Zhao, Jiang Bian
arXiv 2023. [Paper]
30 Mar 2023
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
Konstantina Nikolaidou, George Retsinas, Vincent Christlein, Mathias Seuret, Giorgos Sfikas, Elisa Barney Smith, Hamam Mokayed, Marcus Liwicki
arXiv 2023. [Paper]
29 Mar 2023
Visual Chain-of-Thought Diffusion Models
William Harvey, Frank Wood
arXiv 2023. [Paper]
28 Mar 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier
Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak
arXiv 2023. [Paper] [Project]
28 Mar 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection
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arXiv 2023. [Paper]
27 Mar 2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers
Kevin Clark, Priyank Jaini
arXiv 2023. [Paper]
27 Mar 2023
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
Sauradip Nag, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang
arXiv 2023. [Paper]
27 Mar 2023
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
Pierre Fernandez, Guillaume Couairon, Hervé Jégou, Matthijs Douze, Teddy Furon
arXiv 2023. [Paper] [Project]
27 Mar 2023
Exploring Continual Learning of Diffusion Models
Michał Zając, Kamil Deja, Anna Kuzina, Jakub M. Tomczak, Tomasz Trzciński, Florian Shkurti, Piotr Miłoś
arXiv 2023. [Paper]
27 Mar 2023
PDPP:Projected Diffusion for Procedure Planning in Instructional Videos
Hanlin Wang, Yilu Wu, Sheng Guo, Limin Wang
CVPR 2023. [Paper]
26 Mar 2023
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Han Xue, Zhiwu Huang, Qianru Sun, Li Song, Wenjun Zhang
arXiv 2023. [Paper]
25 Mar 2023
CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images
Jordan J. Bird, Ahmad Lotfi
arXiv 2023. [Paper]
24 Mar 2023
Controllable Inversion of Black-Box Face-Recognition Models via Diffusion
Manuel Kansy, Anton Raël, Graziana Mignone, Jacek Naruniec, Christopher Schroers, Markus Gross, Romann M. Weber
arXiv 2023. [Paper]
23 Mar 2023
End-to-End Diffusion Latent Optimization Improves Classifier Guidance
Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik
arXiv 2023. [Paper]
23 Mar 2023
DiffPattern: Layout Pattern Generation via Discrete Diffusion
Zixiao Wang, Yunheng Shen, Wenqian Zhao, Yang Bai, Guojin Chen, Farzan Farnia, Bei Yu
DAC 2023. [Paper]
23 Mar 2023
Diffuse-Denoise-Count: Accurate Crowd-Counting with Diffusion Models
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arXiv 2023. [Paper]
22 Mar 2023
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
Junyi Zhang1, Jiaqi Guo1, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang
arXiv 2023. [Paper]
21 Mar 2023
Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models
Francesco Giuliari, Gianluca Scarpellini, Stuart James, Yiming Wang, Alessio Del Bue
arXiv 2023. [Paper] [Project]
20 Mar 2023
Leapfrog Diffusion Model for Stochastic Trajectory Prediction
Weibo Mao, Chenxin Xu, Qi Zhu, Siheng Chen, Yanfeng Wang
arxiv 2023. [Paper] [Github]
20 Mar 2023
Pluralistic Aging Diffusion Autoencoder
Peipei Li, Rui Wang, Huaibo Huang, Ran He, Zhaofeng He
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20 Mar 2023
AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models
Yu Cao, Xiangqiao Meng, P.Y. Mok, Xueting Liu, Tong-Yee Lee, Ping Li
arxiv 2023. [Paper]
20 Mar 2023
Diffusion-based Document Layout Generation
Liu He, Yijuan Lu, John Corring, Dinei Florencio, Cha Zhang
arXiv 2023. [Paper]
19 Mar 2023
On the De-duplication of LAION-2B
Ryan Webster, Julien Rabin, Loic Simon, Frederic Jurie
arXiv 2023. [Paper]
17 Mar 2023
A Recipe for Watermarking Diffusion Models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Ngai-Man Cheung, Min Lin
arXiv 2023. [Paper]
17 Mar 2023
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Weilai Xiang, Hongyu Yang, Di Huang, Yunhong Wang
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17 Mar 2023
DIRE for Diffusion-Generated Image Detection
Zhendong Wang, Jianmin Bao, Wengang Zhou, Weilun Wang, Hezhen Hu, Hong Chen, Houqiang Li
arXiv 2023. [Paper] [Github]
16 Mar 2023
DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion
Maham Tanveer, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang
arXiv 2023. [Paper] [Project]
16 Mar 2023
DiffusionAD: Denoising Diffusion for Anomaly Detection
Hui Zhang, Zheng Wang, Zuxuan Wu, Yu-Gang Jiang
arXiv 2023. [Paper]
15 Mar 2023
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi
CVPR 2023. [Paper] [Project] [Github]
14 Mar 2023
Parallel Vertex Diffusion for Unified Visual Grounding
Zesen Cheng, Kehan Li, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen
arXiv 2023. [Paper]
13 Mar 2023
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool
arXiv 2023. [Paper]
13 Mar 2023
Detecting Images Generated by Diffusers
Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
arXiv 2023. [Paper]
9 Mar 2023
Unifying Layout Generation with a Decoupled Diffusion Model
Mude Hui, Zhizheng Zhang, Xiaoyi Zhang, Wenxuan Xie, Yuwang Wang, Yan Lu
arXiv 2023. [Paper]
9 Mar 2023
DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer
Elad Levi, Eli Brosh, Mykola Mykhailych, Meir Perez
arXiv 2023. [Paper]
7 Mar 2023
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition
Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein
arXiv 2023. [Paper] [Project]
7 Mar 2023
Word-As-Image for Semantic Typography
Shir Iluz1, Yael Vinker1, Amir Hertz, Daniel Berio, Daniel Cohen-Or, Ariel Shamir
arXiv 2023. [Paper]
3 Mar 2023
Makeup Extraction of 3D Representation via Illumination-Aware Image Decomposition
Xingchao Yang, Takafumi Taketomi, Yoshihiro Kanamori
arXiv 2023. [Paper]
26 Feb 2023
Monocular Depth Estimation using Diffusion Models
Saurabh Saxena, Abhishek Kar, Mohammad Norouzi, David J. Fleet
arXiv 2023. [Paper]
28 Feb 2023
Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition
Yifan Jiang, Han Chen, Hanseok Ko
arXiv 2023. [Paper] [Github]
26 Feb 2023
LDFA: Latent Diffusion Face Anonymization for Self-driving Applications
Marvin Klemp, Kevin Rösch, Royden Wagner, Jannik Quehl, Martin Lauer
arXiv 2023. [Paper]
17 Feb 2023
Road Redesign Technique Achieving Enhanced Road Safety by Inpainting with a Diffusion Model
Sumit Mishra, Medhavi Mishra, Taeyoung Kim, Dongsoo Har
arXiv 2023. [Paper]
15 Feb 2023
Effective Data Augmentation With Diffusion Models
Brandon Trabucco, Kyle Doherty, Max Gurinas, Ruslan Salakhutdinov
arXiv 2023. [Paper] [Project]
7 Feb 2023
Boosting Zero-shot Classification with Synthetic Data Diversity via Stable Diffusion
Jordan Shipard, Arnold Wiliem, Kien Nguyen Thanh, Wei Xiang, Clinton Fookes
arXiv 2023. [Paper]
7 Feb 2023
Learning End-to-End Channel Coding with Diffusion Models
Muah Kim, Rick Fritschek, Rafael F. Schaefer
arXiv 2023. [Paper]
3 Feb 2023
Extracting Training Data from Diffusion Models
Nicholas Carlini1, Jamie Hayes1, Milad Nasr1, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
arXiv 2023. [Paper]
2 Feb 2023
Diffusion Models for High-Resolution Solar Forecasts
Yusuke Hatanaka, Yannik Glaser, Geoff Galgon, Giuseppe Torri, Peter Sadowski
arxiv 2023. [Paper]
1 Feb 2023
A Denoising Diffusion Model for Fluid Field Prediction
Gefan Yang1, Stefan Sommer1
arXiv 2023. [Paper]
27 Jan 2023
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre
arXiv 2023. [Paper]
27 Jan 2023
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li
arXiv 2023. [Paper]
27 Jan 2023
Screen Space Indirect Lighting with Visibility Bitmask
Olivier Therrien, Yannick Levesque, Guillaume Gilet
arXiv 2023. [Paper]
26 Jan 2023
On the Importance of Noise Scheduling for Diffusion Models
Ting Chen
arXiv 2023. [Paper]
26 Jan 2023
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas Guibas
arXiv 2023. [Paper] [Project]
23 Jan 2023
Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models
Jun Yue, Leyuan Fang, Shaobo Xia, Yue Deng, Jiayi Ma
arXiv 2023. [Paper]
19 Jan 2023
Neural Image Compression with a Diffusion-Based Decoder
Noor Fathima Goose1, Jens Petersen1, Auke Wiggers1, Tianlin Xu, Guillaume Sautière
arXiv 2023. [Paper]
13 Jan 2023
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images
Mohamed Akrout1, Bálint Gyepesi1, Péter Holló, Adrienn Poór, Blága Kincső, Stephen Solis, Katrina Cirone, Jeremy Kawahara, Dekker Slade, Latif Abid, Máté Kovács, István Fazekas
arXiv 2023. [Paper]
12 Jan 2023
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
Dan Bigioi, Shubhajit Basak, Hugh Jordan, Rachel McDonnell, Peter Corcoran
arXiv 2023. [Paper] [Project] [Github]
10 Jan 2023
Diffusion Models For Stronger Face Morphing Attacks
Zander Blasingame, Chen Liu
arXiv 2023. [Paper]
10 Jan 2023
DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis
Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu
arXiv 2023. [Paper]
10 Jan 2023
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
Dan Bigioi, Shubhajit Basak, Hugh Jordan, Rachel McDonnell, Peter Corcoran
arXiv 2023. [Paper]
10 Jan 2023
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
Michał Stypułkowski, Konstantinos Vougioukas, Sen He, Maciej Zięba, Stavros Petridis, Maja Pantic
arXiv 2023. [Paper] [Project]
6 Jan 2023
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias
Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan
arXiv 2022. [Paper]
21 Dec 2022
AI Art in Architecture
Joern Ploennigs, Markus Berger
arXiv 2022. [Paper]
19 Dec 2022
Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability
Lorin Sweeney, Graham Healy, Alan F. Smeaton
arXiv 2022. [Paper]
19 Dec 2022
Fake it till you make it: Learning(s) from a synthetic ImageNet clone
Mert Bulent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis
arXiv 2022. [Paper]
16 Dec 2022
The Infinite Index: Information Retrieval on Generative Text-To-Image Models
Niklas Deckers, Maik Fröbe, Johannes Kiesel, Gianluca Pandolfo, Christopher Schröder, Benno Stein, Martin Potthast
arXiv 2022. [Paper]
14 Dec 2022
LidarCLIP or: How I Learned to Talk to Point Clouds
Georg Hess, Adam Tonderski, Christoffer Petersson, Lennart Svensson, Kalle Åström
arXiv 2022. [Paper] [Github]
13 Dec 2022
Diff-Font: Diffusion Model for Robust One-Shot Font Generation
Haibin He, Xinyuan Chen, Chaoyue Wang, Juhua Liu, Bo Du, Dacheng Tao, Yu Qiao
arXiv 2022. [Paper]
12 Dec 2022
DiffAlign : Few-shot learning using diffusion based synthesis and alignment
Aniket Roy, Anshul Shah, Ketul Shah, Anirban Roy, Rama Chellappa
arXiv 2022. [Paper]
11 Dec 2022
How to Backdoor Diffusion Models?
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
arXiv 2022. [Paper]
11 Dec 2022
Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors
Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang
arXiv 2022. [Paper] [Project]
7 Dec 2022
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein
arXiv 2022. [Paper]
7 Dec 2022
Neural Cell Video Synthesis via Optical-Flow Diffusion
Manuel Serna-Aguilera, Khoa Luu, Nathaniel Harris, Min Zou
arXiv 2022. [Paper]
6 Dec 2022
Semantic-Conditional Diffusion Networks for Image Captioning
Jianjie Luo, Yehao Li, Yingwei Pan, Ting Yao, Jianlin Feng, Hongyang Chao, Tao Mei
arXiv 2022. [Paper] [Github]
6 Dec 2022
ObjectStitch: Generative Object Compositing
Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian Price, Jianming Zhang, Soo Ye Kim, Daniel Aliaga
arXiv 2022. [Paper]
2 Dec 2022
Post-training Quantization on Diffusion Models
Yuzhang Shang1, Zhihang Yuan1, Bin Xie1, Bingzhe Wu, Yan Yan
arXiv 2022. [Paper]
28 Nov 2022
Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning
Xian Zhong, Zipeng Li, Shuqin Chen, Kui Jiang, Chen Chen, Mang Ye
arXiv 2022. [Paper] [Github]
28 Nov 2022
Diffusion Probabilistic Model Made Slim
Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
arXiv 2022. [Paper]
27 Nov 2022
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
German Barquero, Sergio Escalera, Cristina Palmero
arXiv 2022. [Paper]
25 Nov 2022
JigsawPlan: Room Layout Jigsaw Puzzle Extreme Structure from Motion using Diffusion Models
Sepidehsadat Hosseini, Mohammad Amin Shabani, Saghar Irandoust, Yasutaka Furukawa
arXiv 2022. [Paper] [Project]
24 Nov 2022
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising
Mohammad Amin Shabani, Sepidehsadat Hosseini, Yasutaka Furukawa
arXiv 2022. [Paper] [Project]
23 Nov 2022
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
Tanzila Rahman, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Shweta Mahajan, Leonid Sigal
arXiv 2022. [Paper]
23 Nov 2022
Inversion-Based Creativity Transfer with Diffusion Models
Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu
arXiv 2022. [Paper]
23 Nov 2022
Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition
Jennifer C. White, Ryan Cotterell
arXiv 2022. [Paper]
23 Nov 2022
Can denoising diffusion probabilistic models generate realistic astrophysical fields?
Nayantara Mudur, Douglas P. Finkbeiner
NeurIPS Workshop 2022. [Paper]
22 Nov 2022
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein
arXiv 2022. [Paper] [Project]
22 Nov 2022
Person Image Synthesis via Denoising Diffusion Model
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan
arXiv 2022. [Paper]
22 Nov 2022
Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection
Luping Liu, Yi Ren, Xize Cheng, Zhou Zhao
arXiv 2022. [Paper] [Github]
21 Nov 2022
Exploring Discrete Diffusion Models for Image Captioning
Zixin Zhu, Yixuan Wei, Jianfeng Wang, Zhe Gan, Zheng Zhang, Le Wang, Gang Hua, Lijuan Wang, Zicheng Liu, Han Hu
arXiv 2022. [Paper] [Github]
21 Nov 2022
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen
arXiv 2022. [Paper]
20 Nov 2022
DiffusionDet: Diffusion Model for Object Detection
Shoufa Chen, Peize Sun, Yibing Song, Ping Luo
arXiv 2022. [Paper] [Github]
17 Nov 2022
Learning to Kindle the Starlight
Yu Yuan, Jiaqi Wu, Lindong Wang, Zhongliang Jing, Henry Leung, Shuyuan Zhu, Han Pan
arXiv 2022. [Paper]
16 Nov 2022
CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming
Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu
arXiv 2022. [Paper]
15 Nov 2022
ShadowDiffusion: Diffusion-based Shadow Removal using Classifier-driven Attention and Structure Preservation
Yeying Jin, Wenhan Yang, Wei Ye, Yuan Yuan, Robby T. Tan
arXiv 2022. [Paper]
15 Nov 2022
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models
Zhihong Pan, Xin Zhou, Hao Tian
arXiv 2022. [Paper]
14 Nov 2022
Denoising Diffusion Models for Out-of-Distribution Detection
Mark S. Graham, Walter H.L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
arXiv 2022. [Paper]
14 Nov 2022
Evaluating a Synthetic Image Dataset Generated with Stable Diffusion
Andreas Stöckl
arXiv 2022. [Paper]
3 Nov 2022
Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng, Yoshiyuki Kabashima
arXiv 2022. [Paper] [Github]
2 Nov 2022
On the detection of synthetic images generated by diffusion models
Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, Luisa Verdoliva
arXiv 2022. [Paper]
1 Nov 2022
DOLPH: Diffusion Models for Phase Retrieval
Shirin Shoushtari1, Jiaming Liu1, Ulugbek S. Kamilov
arXiv 2022. [Paper]
1 Nov 2022
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan
arXiv 2022. [Paper]
30 Oct 2022
Towards the Detection of Diffusion Model Deepfakes
Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer
arXiv 2022. [Paper]
26 Oct 2022
From Points to Functions: Infinite-dimensional Representations in Diffusion Models
Sarthak Mittal, Guillaume Lajoie, Stefan Bauer, Arash Mehrjou
arXiv 2022. [Paper] [Github]
25 Oct 2022
Boomerang: Local sampling on image manifolds using diffusion models
Lorenzo Luzi, Ali Siahkoohi, Paul M Mayer, Josue Casco-Rodriguez, Richard Baraniuk
arXiv 2022. [Paper] [Colab]
21 Oct 2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach
Dong Chen, Xinda Qi, Yu Zheng, Yuzhen Lu, Zhaojian Li
arXiv 2022. [Paper] [Github]
18 Oct 2022
Meta-Learning via Classifier(-free) Guidance
Elvis Nava1, Seijin Kobayashi1, Yifei Yin, Robert K. Katzschmann, Benjamin F. Grewe
arXiv 2022. [Paper]
17 Oct 2022
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models
Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang
arXiv 2022. [Paper]
13 Oct 2022
Markup-to-Image Diffusion Models with Scheduled Sampling
Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
arXiv 2022. [Paper]
11 Oct 2022
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
Raphael Tang, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Jimmy Lin, Ferhan Ture
arXiv 2022. [Paper] [Github]
10 Oct 2022
CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning
Shitong Xu
arXiv 2022. [Paper] [Github]
10 Oct 2022
TopoDiff: A Performance and Constraint-Guided Diffusion Model for Topology Optimization
François Mazé, Faez Ahmed
arXiv 2022. [Paper]
20 Aug 2022
Diffusion Models Beat GANs on Topology Optimization
François Mazé, Faez Ahmed
arXiv 2022. [Paper] [Project] [Github]
20 Aug 2022
Vector Quantized Diffusion Model with CodeUnet for Text-to-Sign Pose Sequences Generation
Pan Xie, Qipeng Zhang, Zexian Li, Hao Tang, Yao Du, Xiaohui Hu
arXiv 2022. [Paper]
19 Aug 2022
Deep Diffusion Models for Seismic Processing
Ricard Durall, Ammar Ghanim, Mario Fernandez, Norman Ettrich, Janis Keuper
arXiv 2022. [Paper]
21 Jul 2022
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
Tianpei Gu1, Guangyi Chen1, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu
CVPR 2022. [Paper] [Github]
25 Mar 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling
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10 Feb 2021
Generating symbolic music using diffusion models
Lilac Atassi
arXiv 2023. [Paper]
15 Mar 2023
DiffuseRoll: Multi-track multi-category music generation based on diffusion model
Hongfei Wang
arXiv 2023. [Paper]
14 Mar 2023
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
Giorgio Mariani1, Irene Tallini1, Emilian Postolache1, Michele Mancusi1, Luca Cosmo, Emanuele Rodolà
arXiv 2023. [Paper] [Project]
4 Feb 2023
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, Baining Guo
arXiv 2022. [Paper] [Github]
19 Dec 2022
SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation
Chen Zhang, Yi Ren, Kejun Zhang, Shuicheng Yan
arXiv 2022. [Paper] [Project]
1 Nov 2022
Full-band General Audio Synthesis with Score-based Diffusion
Santiago Pascual, Gautam Bhattacharya, Chunghsin Yeh, Jordi Pons, Joan Serrà
arXiv 2022. [Paper]
26 Oct 2022
Hierarchical Diffusion Models for Singing Voice Neural Vocoder
Naoya Takahashi, Mayank Kumar, Singh, Yuki Mitsufuji
arXiv 2022. [Paper]
14 Oct 2022
Mandarin Singing Voice Synthesis with Denoising Diffusion Probabilistic Wasserstein GAN
Yin-Ping Cho, Yu Tsao, Hsin-Min Wang, Yi-Wen Liu
arXiv 2022. [Paper] [Project]
21 Sep 2022
DDSP-based Singing Vocoders: A New Subtractive-based Synthesizer and A Comprehensive Evaluation
Da-Yi Wu1, Wen-Yi Hsiao1, Fu-Rong Yang, Oscar Friedman, Warren Jackson, Scott Bruzenak, Yi-Wen Liu, Yi-Hsuan Yang
ISMIR 2022. [Paper] [Github]
9 Aug 2022
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
Rongjie Huang1, Zhou Zhao, Huadai Liu1, Jinglin Liu, Chenye Cui, Yi Ren
arXiv 2022. [Paper] [Project]
13 Jul 2022
CARD: Classification and Regression Diffusion Models
Xizewen Han1, Huangjie Zheng1, Mingyuan Zhou
NeurIPS 2022. [Paper]
15 Jun 2022
Adversarial Audio Synthesis with Complex-valued Polynomial Networks
Yongtao Wu, Grigorios G Chrysos, Volkan Cevher
arXiv 2022. [Paper]
14 Jun 2022
Multi-instrument Music Synthesis with Spectrogram Diffusion
Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse Engel
ISMIR 2022. [Paper]
11 Jun 2022
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo Mandic, Lei He, Xiang-Yang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu
NeurIPS 2022. [Paper] [Github]
30 May 2022
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis
Rongjie Huang1, Max W. Y. Lam1, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao
IJCAI 2022. [Paper] [Project] [Github]
21 Apr 2022
SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping
Yuma Koizumi, Heiga Zen, Kohei Yatabe, Nanxin Chen, Michiel Bacchiani
arXiv 2022. [Paper]
31 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu
ICLR 2022. [Paper] [Github]
25 Mar 2022
ItôWave: Itô Stochastic Differential Equation Is All You Need For Wave Generation
Shoule Wu1, Ziqiang Shi1
CoRR 2022. [Paper] [Project]
29 Jan 2022
Itô-Taylor Sampling Scheme for Denoising Diffusion Probabilistic Models using Ideal Derivatives
Hideyuki Tachibana, Mocho Go, Muneyoshi Inahara, Yotaro Katayama, Yotaro Watanabe
arXiv 2021. [Paper]
26 Dec 2021
Denoising Diffusion Gamma Models
Eliya Nachmani1, Robin San Roman1, Lior Wolf
arXiv 2021. [Paper]
10 Oct 2021
Variational Diffusion Models
Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho
NeurIPS 2021. [Paper] [Github]
1 Jul 2021
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis
Simon Rouard1, Gaëtan Hadjeres1
ISMIR 2021. [Paper] [Project]
14 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior
Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
ICLR 2022. [Paper] [Project]
11 Jun 2021
ItôTTS and ItôWave: Linear Stochastic Differential Equation Is All You Need For Audio Generation
Shoule Wu1, Ziqiang Shi1
arXiv 2022. [Paper] [Project]
17 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Jinglin Liu1, Chengxi Li1, Yi Ren1, Feiyang Chen, Peng Liu, Zhou Zhao
AAAI 2022. [Paper] [Project] [Github]
6 May 2021
Symbolic Music Generation with Diffusion Models
Gautam Mittal, Jesse Engel, Curtis Hawthorne, Ian Simon
ISMIR 2021. [Paper] [Github]
30 Mar 2021
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro
ICLR 2021. [Paper] [Github]
21 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan
ICLR 2021. [Paper] [Project] [Github]
2 Sep 2020
DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion
Songxiang Liu1, Yuewen Cao1, Dan Su, Helen Meng
IEEE 2021. [Paper] [Github]
28 May 2021
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail Kudinov, Jiansheng Wei
ICLR 2022. [Paper] [Project]
28 Sep 2021
Speech Signal Improvement Using Causal Generative Diffusion Models
Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann
ICASSP 2023. [Paper]
15 Mar 2023
Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement
Bunlong Lay, Simon Welker, Julius Richter, Timo Gerkmann
arXiv 2023. [Paper]
28 Feb 2023
Metric-oriented Speech Enhancement using Diffusion Probabilistic Model
Chen Chen, Yuchen Hu, Weiwei Weng, Eng Siong Chng
arXiv 2023. [Paper]
23 Feb 2023
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation
Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
arXiv 2022. [Paper]
22 Dec 2022
Unsupervised vocal dereverberation with diffusion-based generative models
Koichi Saito, Naoki Murata, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuhta Takida, Takao Fukui, Yuki Mitsufuji
arXiv 2022. [Paper]
8 Nov 2022
DiffPhase: Generative Diffusion-based STFT Phase Retrieval
Tal Peer, Simon Welker, Timo Gerkmann
arXiv 2022. [Paper]
8 Nov 2022
Cold Diffusion for Speech Enhancement
Hao Yen, François G. Germain, Gordon Wichern, Jonathan Le Roux
arXiv 2022. [Paper]
4 Nov 2022
Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration
Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
ICASSP. [Paper] [Project] [Github]
4 Nov 2022
SRTNet: Time Domain Speech Enhancement Via Stochastic Refinement
Zhibin Qiu, Mengfan Fu, Yinfeng Yu, LiLi Yin, Fuchun Sun, Hao Huang
ICASSP 2022. [Paper] [Github]
30 Oct 2022
A Versatile Diffusion-based Generative Refiner for Speech Enhancement
Ryosuke Sawata, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji
arXiv 2022. [Paper]
27 Oct 2022
Conditioning and Sampling in Variational Diffusion Models for Speech Super-resolution
Chin-Yun Yu, Sung-Lin Yeh, György Fazekas, Hao Tang
arXiv 2022. [Paper] [Project] [Github]
27 Oct 2022
Solving Audio Inverse Problems with a Diffusion Model
Eloi Moliner, Jaakko Lehtinen, Vesa Välimäki
arXiv 2022. [Paper]
27 Oct 2022
Speech Enhancement and Dereverberation with Diffusion-based Generative Models
Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann
arXiv 2022. [Paper] [Project] [Github]
11 Aug 2022
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates
Seungu Han, Junhyeok Lee
arXiv 2022. [Paper] [Project]
17 Jun 2022
Universal Speech Enhancement with Score-based Diffusion
Joan Serrà, Santiago Pascual, Jordi Pons, R. Oguz Araz, Davide Scaini
arXiv 2022. [Paper]
7 Jun 2022
Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain
Simon Welker, Julius Richter, Timo Gerkmann
InterSpeech 2022. [Paper] [Github]
31 Mar 2022
Conditional Diffusion Probabilistic Model for Speech Enhancement
Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe, Alexander Richard, Cheng Yu, Yu Tsao
IEEE 2022. [Paper] [Github]
10 Feb 2022
A Study on Speech Enhancement Based on Diffusion Probabilistic Model
Yen-Ju Lu1, Yu Tsao1, Shinji Watanabe
arXiv 2021. [Paper]
25 Jul 2021
Restoring degraded speech via a modified diffusion model
Jianwei Zhang, Suren Jayasuriya, Visar Berisha
Interspeech 2021. [Paper]
22 Apr 2021
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling
Junhyeok Lee, Seungu Han
Interspeech 2021. [Paper] [Project] [Github]
6 Apr 2021
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
Giorgio Mariani1, Irene Tallini1, Emilian Postolache1, Michele Mancusi1, Luca Cosmo, Emanuele Rodolà
arXiv 2023. [Paper] [Project]
4 Feb 2023
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation
Shahar Lutati, Eliya Nachmani, Lior Wolf
arXiv 2023. [Paper]
25 Jan 2023
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation
Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
arXiv 2022. [Paper]
22 Dec 2022
Diffusion-based Generative Speech Source Separation
Robin Scheibler, Youna Ji, Soo-Whan Chung, Jaeuk Byun, Soyeon Choe, Min-Seok Choi
arXiv 2022. [Paper]
31 Oct 2022
Instrument Separation of Symbolic Music by Explicitly Guided Diffusion Model
Sangjun Han, Hyeongrae Ihm, DaeHan Ahn, Woohyung Lim
arXiv 2022. [Paper]
5 Sep 2022
An investigation into the adaptability of a diffusion-based TTS model
Haolin Chen, Philip N. Garner
arXiv 2023. [Paper]
3 Mar 2023
Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech
Jiyoung Lee, Joon Son Chung, Soo-Whan Chung
arXiv 2023. [Paper]
27 Feb 2023
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models
Pengfei Zhu, Chao Pang, Shuohuan Wang, Yekun Chai, Yu Sun, Hao Tian, Hua Wu
arXiv 2023. [Paper]
9 Feb 2023
Noise2Music: Text-conditioned Music Generation with Diffusion Models
Qingqing Huang1, Daniel S. Park1, Tao Wang, Timo I. Denk, Andy Ly, Nanxin Chen, Zhengdong Zhang, Zhishuai Zhang, Jiahui Yu, Christian Frank, Jesse Engel, Quoc V. Le, William Chan, Wei Han
arXiv 2023. [Paper] [Project]
8 Feb 2023
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
Flavio Schneider, Zhijing Jin, Bernhard Schölkopf
arXiv 2023. [Paper] [Project] [Github]
27 Jan 2023
InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt
Dongchao Yang1, Songxiang Liu1, Rongjie Huang, Guangzhi Lei, Chao Weng, Helen Meng, Dong Yu
arXiv 2023. [Paper] [Project]
31 Jan 2023
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
Rongjie Huang1, Jiawei Huang1, Dongchao Yang1, Yi Ren, Luping Liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, Zhou Zhao
arXiv 2023. [Paper] [Project]
30 Jan 2023
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
Haohe Liu1, Zehua Chen1, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo Mandic, Wenwu Wang, Mark D. Plumbley
arXiv 2023. [Paper] [Project] [Github]
29 Jan 2023
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech
Zehua Chen, Yihan Wu, Yichong Leng, Jiawei Chen, Haohe Liu, Xu Tan, Yang Cui, Ke Wang, Lei He, Sheng Zhao, Jiang Bian, Danilo Mandic
arXiv 2022. [Paper] [Project]
30 Dec 2022
Text-to-speech synthesis based on latent variable conversion using diffusion probabilistic model and variational autoencoder
Yusuke Yasuda, Tomoki Toda
arXiv 2022. [Paper]
16 Dec 2022
Any-speaker Adaptive Text-To-Speech Synthesis with Diffusion Models
Minki Kang, Dongchan Min, Sung Ju Hwang
arXiv 2022. [Paper] [Project]
17 Nov 2022
EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance
Yiwei Guo, Chenpeng Du, Xie Chen, Kai Yu
arXiv 2022. [Paper] [Project]
17 Nov 2022
NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTS
Dongchao Yang, Songxiang Liu, Jianwei Yu, Helin Wang, Chao Weng, Yuexian Zou
arXiv 2022. [Paper]
4 Nov 2022
WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration
Yuma Koizumi, Kohei Yatabe, Heiga Zen, Michiel Bacchiani
arXiv 2022. [Paper] [Project]
3 Oct 2022
Diffsound: Discrete Diffusion Model for Text-to-sound Generation
Dongchao Yang, Jianwei Yu, Helin Wang, Wen Wang, Chao Weng, Yuexian Zou, Dong Yu
arXiv 2022. [Paper] [Project]
20 Jul 2022
Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models
Alon Levkovitch, Eliya Nachmani, Lior Wolf
arXiv 2022. [Paper] [Project]
5 Jun 2022
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data
Sungwon Kim1, Heeseung Kim1, Sungroh Yoon
arXiv 2022. [Paper] [Project]
30 May 2022
InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training
Zehua Chen, Xu Tan, Ke Wang, Shifeng Pan, Danilo Mandic, Lei He, Sheng Zhao
ICASSP 2022. [Paper]
8 Feb 2022
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
Songxiang Liu, Dan Su, Dong Yu
arXiv 2022. [Paper] [Github]
28 Jan 2022
Guided-TTS:Text-to-Speech with Untranscribed Speech
Heeseung Kim, Sungwon Kim, Sungroh Yoon
ICML 2021. [Paper]
30 Nov 2021
EdiTTS: Score-based Editing for Controllable Text-to-Speech
Jaesung Tae1, Hyeongju Kim1, Taesu Kim
arXiv 2021. [Paper] [Project] [Github]
6 Oct 2021
WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, Najim Dehak, William Chan
arXiv 2021. [Paper] [Project] [Github] [Github2]
17 Jun 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Vadim Popov1, Ivan Vovk1, Vladimir Gogoryan, Tasnima Sadekova, Mikhail Kudinov
ICML 2021. [Paper] [Project] [Github]
13 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Jinglin Liu1, Chengxi Li1, Yi Ren1, Feiyang Chen, Peng Liu, Zhou Zhao
arXiv 2021. [Paper] [Project] [Github]
6 May 2021
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech
Myeonghun Jeong, Hyeongju Kim, Sung Jun Cheon, Byoung Jin Choi, Nam Soo Kim
Interspeech 2021. [Paper]
3 Apr 2021
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao
arXiv 2023. [Paper] [Project]
3 Apr 2023
Data Augmentation for Environmental Sound Classification Using Diffusion Probabilistic Model with Top-k Selection Discriminator
Yunhao Chen, Yunjie Zhu, Zihui Yan, Jianlu Shen, Zhen Ren, Yifan Huang
arXiv 2023. [Paper]
27 Mar 2023
Enhancing Unsupervised Speech Recognition with Diffusion GANs
Xianchao Wu
arXiv 2023. [Paper]
23 Mar 2023
Defending against Adversarial Audio via Diffusion Model
Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao
ICLR 2023. [Paper] [Github]
2 Mar 2023
TransFusion: Transcribing Speech with Multinomial Diffusion
Matthew Baas, Kevin Eloff, Herman Kamper
SACAIR 2022. [Paper] [Github]
14 Oct 2022
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise
Jiaao Chen, Aston Zhang, Mu Li, Alex Smola, Diyi Yang
arXiv 2023. [Paper] [Github]
10 Apr 2023
DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises
Jiasheng Ye, Zaixiang Zheng, Yu Bao, Lihua Qian, Mingxuan Wang
arXiv 2023. [Paper]
20 Feb 2023
A Reparameterized Discrete Diffusion Model for Text Generation
Lin Zheng, Jianbo Yuan, Lei Yu, Lingpeng Kong
arXiv 2023. [Paper]
11 Feb 2023
Long Horizon Temperature Scaling
Andy Shih, Dorsa Sadigh, Stefano Ermon
arXiv 2023. [Paper]
7 Feb 2023
DiffusER: Diffusion via Edit-based Reconstruction
Machel Reid, Vincent Josua Hellendoorn, Graham Neubig
ICLR 2023. [Paper]
2 Feb 2023
GENIE: Large Scale Pre-training for Text Generation with Diffusion Model
Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Weizhu Chen, Nan Duan
arXiv 2022. [Paper]
22 Dec 2022
Diff-Glat: Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning
Lihua Qian, Mingxuan Wang, Yang Liu, Hao Zhou
arXiv 2022. [Paper]
20 Dec 2022
SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers
Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang
arXiv 2022. [Paper]
20 Dec 2022
Latent Diffusion for Language Generation
Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Weinberger
arXiv 2022. [Paper]
19 Dec 2022
Difformer: Empowering Diffusion Model on Embedding Space for Text Generation
Zhujin Gao1, Junliang Guo1, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu
arXiv 2022. [Paper]
19 Dec 2022
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
Zhengfu He1, Tianxiang Sun1, Kuanning Wang, Xuanjing Huang, Xipeng Qiu
arXiv 2022. [Paper] [Github]
28 Nov 2022
Continuous diffusion for categorical data
Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler
arXiv 2022. [Paper]
28 Nov 2022
Self-conditioned Embedding Diffusion for Text Generation
Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond
arXiv 2022. [Paper]
8 Nov 2022
DiffusER: Discrete Diffusion via Edit-based Reconstruction
Machel Reid, Vincent J. Hellendoorn, Graham Neubig
arXiv 2022. [Paper]
30 Oct 2022
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov
arXiv 2022. [Paper]
31 Oct 2022
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
Shansan Gong1, Mukai Li1, Jiangtao Feng, Zhiyong Wu, LingPeng Kong
arXiv 2022. [Paper]
17 Oct 2022
Composable Text Controls in Latent Space with ODEs
Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu
arXiv 2022. [Paper] [Github]
1 Aug 2022
Structured Denoising Diffusion Models in Discrete State-Spaces
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NeurIPS 2021. [Paper]
7 Jul 2021
Latent Diffusion Energy-Based Model for Interpretable Text Modeling
Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruigi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu
ICML 2022. [Paper] [Github]
13 Jun 2022
Diffusion-LM Improves Controllable Text Generation
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NeurIPS 2022. [Paper] [Github]
27 May 2022
Step-unrolled Denoising Autoencoders for Text Generation
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ICLR 2022. [Paper] [Github]
13 Dec 2021
Zero-Shot Translation using Diffusion Models
Eliya Nachmani1, Shaked Dovrat1
arXiv 2021. [Paper]
2 Nov 2021
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models
Nicholas I-Hsien Kuo, Louisa Jorm, Sebastiano Barbieri
arXiv 2023. [Paper]
22 Mar 2023
Diffusing Gaussian Mixtures for Generating Categorical Data
Florence Regol, Mark Coates
arXiv 2023. [Paper]
8 Mar 2023
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models
Hongyi Yuan1, Songchi Zhou1, Sheng Yu
arXiv 2023. [Paper] [Github]
10 Mar 2023
Synthesizing Mixed-type Electronic Health Records using Diffusion Models
Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Tingting Zhu, Andrew P. Creagh, David A. Clifton
arXiv 2023. [Paper]
28 Feb 2023
MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model
Huan He, Shifan Zhao, Yuanzhe Xi, Joyce C Ho
arXiv 2023. [Paper]
8 Feb 2023
Diffusion-based Conditional ECG Generation with Structured State Space Models
Juan Miguel Lopez Alcaraz, Nils Strodthoff
arXiv 2023. [Paper]
19 Jan 2023
TabDDPM: Modelling Tabular Data with Diffusion Models
Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko
arXiv 2022. [Paper] [Github]
30 Sep 2022
TDSTF: Transformer-based Diffusion probabilistic model for Sparse Time series Forecasting
Ping Chang, Huayu Li, Stuart F. Quan, Janet Roveda, Ao Li
arXiv 2023. [Paper] [Github]
16 Jan 2023
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
NeurIPS 2022. [Paper] [Github]
8 Jan 2023
Denoising diffusion probabilistic models for probabilistic energy forecasting
Esteban Hernandez, Jonathan Dumas
arXiv 2022. [Paper]
6 Dec 2022
Modeling Temporal Data as Continuous Functions with Process Diffusion
Marin Biloš, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann
arXiv 2022. [Paper]
4 Nov 2022
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
Juan Miguel Lopez Alcaraz, Nils Strodthoff
arXiv 2022. [Paper] [Github]
19 Aug 2022
CARD: Classification and Regression Diffusion Models
Xizewen Han1, Huangjie Zheng1, Mingyuan Zhou
NeurIPS 2022. [Paper]
15 Jun 2022
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models
Tijin Yan, Hongwei Zhang, Tong Zhou, Yufeng Zhan, Yuanqing Xia
arXiv 2021. [Paper] [Github]
18 Jun 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
Kashif Rasul, Calvin Seward, Ingmar Schuster, Roland Vollgraf
ICLR 2021. [Paper] [Github]
2 Feb 2021
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation
Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu
arXiv 2023. [Paper] [Github]
20 Feb 2023
Modeling Temporal Data as Continuous Functions with Process Diffusion
Marin Biloš, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann
arXiv 2022. [Paper]
4 Nov 2022
Diffusion models for missing value imputation in tabular data
Shuhan Zheng, Nontawat Charoenphakdee
NeurIPS 2022. [Paper]
31 Oct 2022
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data
Sung Woo Park, Kyungjae Lee, Junseok Kwon
ICLR 2022. [Paper]
29 Sep 2021
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
Juan Miguel Lopez Alcaraz, Nils Strodthoff
arXiv 2022. [Paper] [Github]
19 Aug 2022
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
Yusuke Tashiro, Jiaming Song, Yang Song, Stefano Ermon
NeurIPS 2021. [Paper] [Github]
7 Jul 2021
Sequential Recommendation with Diffusion Models
Hanwen Du, Huanhuan Yuan, Zhen Huang, Pengpeng Zhao, Xiaofang Zhou
arXiv 2023. [Paper]
10 Apr 2023
DiffuRec: A Diffusion Model for Sequential Recommendation
Zihao Li, Aixin Sun, Chenliang Li
arXiv 2023. [Paper]
3 Apr 2023
EEG Synthetic Data Generation Using Probabilistic Diffusion Models
Giulio Tosato, Cesare M. Dalbagno, Francesco Fumagalli
arXiv 2023. [Paper]
6 Mar 2023
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal
Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li
arXiv 2022. [Paper]
31 Jul 2022
Diffusion Probabilistic Models for Graph-Structured Prediction
Hyosoon Jang, Sangwoo Mo, Sungsoo Ahn
arXiv 2023. [Paper]
21 Feb 2023
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion
Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia
arXiv 2023. [Paper]
7 Feb 2023
Graph Generation with Destination-Driven Diffusion Mixture
Jaehyeong Jo1, Dongki Kim1, Sung Ju Hwang
arXiv 2023. [Paper]
7 Feb 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Roger Zimmermann, Yuxuan Liang
arXiv 2023. [Paper]
31 Jan 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
arXiv 2023. [Paper]
23 Jan 2023
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation
Han Huang, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv
arXiv 2022. [Paper]
4 Dec 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors
Cristian Sbrolli, Paolo Cudrano, Matteo Frosi, Matteo Matteucci
arXiv 2022. [Paper]
20 Nov 2022
Fast Graph Generative Model via Spectral Diffusion
Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
arXiv 2022. [Paper]
16 Nov 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces
Kilian Konstantin Haefeli, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer
NeurIPS 2022. [Paper]
4 Oct 2022
DiGress: Discrete Denoising diffusion for graph generation
Clement Vignac1, Igor Krawczuk1, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard
arXiv 2022. [Paper]
29 Sep 2022
Permutation Invariant Graph Generation via Score-Based Generative Modeling
Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon
AISTATS 2021. [Paper] [Github]
2 Mar 2020
Accurate transition state generation with an object-aware equivariant elementary reaction diffusion model
Chenru Duan, Yuanqi Du, Haojun Jia, Heather J. Kulik
arXiv 2023. [Paper]
12 Apr 2023
DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models
Mohamed Amine Ketata, Cedrik Laue, Ruslan Mammadov, Hannes Stärk, Menghua Wu, Gabriele Corso, Céline Marquet, Regina Barzilay, Tommi S. Jaakkola
ICLR 2023. [Paper]
8 Apr 2023
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma
ICLR 2023. [Paper]
6 Mar 2023
EigenFold: Generative Protein Structure Prediction with Diffusion Models
Bowen Jing, Ezra Erives, Peter Pao-Huang, Gabriele Corso, Bonnie Berger, Tommi Jaakkola
ICLR Workshop 2023. [Paper] [Github]
5 Apr 2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties
Nikolaos N. Vlassis, WaiChing Sun
arXiv 2023. [Paper]
24 Feb 2023
Aligned Diffusion Schrödinger Bridges
Vignesh Ram Somnath1, Matteo Pariset1, Ya-Ping Hsieh, Maria Rodriguez Martinez, Andreas Krause, Charlotte Bunne
arXiv 2023. [Paper]
22 Feb 2023
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
Clement Vignac, Nagham Osman, Laura Toni, Pascal Frossard
arXiv 2023. [Paper]
17 Feb 2023
Geometry-Complete Diffusion for 3D Molecule Generation
Alex Morehead, Jianlin Cheng
arXiv 2023. [Paper] [Github]
8 Feb 2023
SE(3) diffusion model with application to protein backbone generation
Jason Yim1, Brian L. Trippe1, Valentin De Bortoli1, Emile Mathieu1, Arnaud Doucet, Regina Barzilay, Tommi Jaakkola
arXiv 2023. [Paper]
5 Feb 2023
Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy
Yufei Huang, Lirong Wu, Haitao Lin, Jiangbin Zheng, Ge Wang, Stan Z. Li
arXiv 2023. [Paper]
5 Feb 2023
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics
Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zuegner, Marco Federici, Cecilia Clementi, Frank Noé, Robert Pinsler, Rianne van den Berg
arXiv 2023. [Paper]
1 Feb 2023
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds
Yeqing Lin, Mohammed AlQuraishi
arXiv 2023. [Paper]
29 Jan 2023
Physics-Inspired Protein Encoder Pre-Training via Siamese Sequence-Structure Diffusion Trajectory Prediction
Zuobai Zhang1, Minghao Xu1, Aurélie Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang
arXiv 2023. [Paper]
28 Jan 2023
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints
Zhangyang Gao, Cheng Tan, Stan Z. Li
arXiv 2023. [Paper]
22 Jan 2023
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
Haitao Lin1, Yufei Huang1, Meng Liu, Xuanjing Li, Shuiwang Ji, Stan Z. Li
arXiv 2022. [Paper]
21 Nov 2022
ParticleGrid: Enabling Deep Learning using 3D Representation of Materials
Shehtab Zaman, Ethan Ferguson, Cecile Pereira, Denis Akhiyarov, Mauricio Araya-Polo, Kenneth Chiu
arXiv 2022. [Paper]
15 Nov 2022
Structure-based Drug Design with Equivariant Diffusion Models
Arne Schneuing1, Yuanqi Du1, Charles Harris, Arian Jamasb, Ilia Igashov, Weitao Du, Tom Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael Bronstein, Bruno Correia
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24 Oct 2022
Protein Sequence and Structure Co-Design with Equivariant Translation
Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang
arXiv 2022. [Paper]
17 Oct 2022
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael Bronstein, Bruno Correia
arXiv 2022. [Paper]
11 Oct 2022
Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models
Zhuoran Qiao, Weili Nie, Arash Vahdat, Thomas F. Miller III, Anima Anandkumar
arXiv 2022. [Paper]
30 Sep 2022
Equivariant Energy-Guided SDE for Inverse Molecular Design
Fan Bao1, Min Zhao1, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu
arXiv 2022. [Paper]
30 Sep 2022
Protein structure generation via folding diffusion
Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini
arXiv 2022. [Paper]
30 Sep 2022
MDM: Molecular Diffusion Model for 3D Molecule Generation
Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong
arXiv 2022. [Paper]
13 Sep 2022
Diffusion-based Molecule Generation with Informative Prior Bridges
Lemeng Wu1, Chengyue Gong1, Xingchao Liu, Mao Ye, Qiang Liu
NeurIPS 2022. [Paper]
2 Sep 2022
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models
Shitong Luo1, Yufeng Su1, Xingang Peng, Sheng Wang, Jian Peng, Jianzhu Ma
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11 Jul 2022
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Peder Lyngby, Kristian Sommer Thygesen
arXiv 2022. [Paper]
24 Jun 2022
Score-based Generative Models for Calorimeter Shower Simulation
Vinicius Mikuni, Benjamin Nachman
arXiv 2022. [Paper]
17 Jun 2022
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem
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CoRR 2022. [Paper]
8 Jun 2022
Torsional Diffusion for Molecular Conformer Generation
Bowen Jing, Gabriele Corso, Regina Barzilay, Tommi S. Jaakkola
ICLR Workshop 2022. [Paper] [Github]
1 Jun 2022
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Namrata Anand, Tudor Achim
arXiv 2022. [Paper] [Project] [Github]
26 May 2022
A Score-based Geometric Model for Molecular Dynamics Simulations
Fang Wu1, Qiang Zhang1, Xurui Jin, Yinghui Jiang, Stan Z. Li
CoRR 2022. [Paper]
19 Apr 2022
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Emiel Hoogeboom1, Victor Garcia Satorras1, Clément Vignac, Max Welling
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31 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
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6 Mar 2022
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
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12 Oct 2021
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Shitong Luo, Chence Shi, Minkai Xu, Jian Tang
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22 May 2021
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
Moritz Reuss, Maximilian Li, Xiaogang Jia, Rudolf Lioutikov
arXiv 2023. [Paper]
5 Apr 2023
EDGI: Equivariant Diffusion for Planning with Embodied Agents
Johann Brehmer, Joey Bose, Pim de Haan, Taco Cohen
ICLR Workshop 2023. [Paper]
22 Mar 2023
Multi-Agent Adversarial Training Using Diffusion Learning
Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed
arXiv 2023. [Paper]
3 Mar 2023
Diffusion Model-Augmented Behavioral Cloning
Hsiang-Chun Wang, Shang-Fu Chen, Shao-Hua Sun
arXiv 2023. [Paper]
26 Feb 2023
To the Noise and Back: Diffusion for Shared Autonomy
Takuma Yoneda, Luzhe Sun, Bradly Stadie, Ge Yang, Matthew Walter
arXiv 2023. [Paper] [Github]
23 Feb 2023
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo
arXiv 2023. [Paper]
3 Feb 2023
Imitating Human Behaviour with Diffusion Models
Tim Pearce, Tabish Rashid, Anssi Kanervisto, Dave Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
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25 Jan 2023
Is Conditional Generative Modeling all you need for Decision-Making?
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28 Nov 2022
LAD: Language Augmented Diffusion for Reinforcement Learning
Edwin Zhang, Yujie Lu, William Wang, Amy Zhang
NeurIPS Workshop 2022. [Paper]
27 Oct 2022
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12 Oct 2022
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29 Sep 2022
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20 May 2022
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Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael Hutchinson
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11 Apr 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling
Stefano Peluchetti
arXiv 2023. [Paper]
3 Apr 2023
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30 Mar 2023
Diffusion Schrödinger Bridge Matching
Yuyang Shi, Valentin De Bortoli, Andrew Campbell, Arnaud Doucet
arXiv 2023. [[Paper(https://arxiv.org/abs/2303.16852)]
29 Mar 2023
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-Type Samplers
Sitan Chen, Giannis Daras, Alexandros G. Dimakis
arXiv 2023. [Paper]
6 Mar 2023
Diffusion Models are Minimax Optimal Distribution Estimators
Kazusato Oko, Shunta Akiyama, Taiji Suzuki
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3 Mar 2023
Understanding the Diffusion Objective as a Weighted Integral of ELBOs
Diederik P. Kingma, Ruiqi Gao
arXiv 2023. [Paper]
1 Mar 2023
Continuous-Time Functional Diffusion Processes
Giulio Franzese, Simone Rossi, Dario Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
arXiv 2023. [Paper]
1 Mar 2023
Denoising Diffusion Samplers
Francisco Vargas, Will Grathwohl, Arnaud Doucet
arXiv 2023. [Paper]
27 Feb 2023
Infinite-Dimensional Diffusion Models for Function Spaces
Jakiw Pidstrigach, Youssef Marzouk, Sebastian Reich, Sven Wang
arXiv 2023. [Paper]
20 Feb 2023
Score-based Diffusion Models in Function Space
Jae Hyun Lim1, Nikola B. Kovachki1, Ricardo Baptista1, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar
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14 Feb 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
Minshuo Chen1, Kaixuan Huang1, Tuo Zhao, Mengdi Wang
arXiv 2023. [Paper]
14 Feb 2023
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent
Benjamin Gess1, Sebastian Kassing1, Vitalii Konarovskyi
arXiv 2023. [Paper]
14 Feb 2023
Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation
Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu
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10 Feb 2023
Example-Based Sampling with Diffusion Models
Bastien Doignies, Nicolas Bonneel, David Coeurjolly, Julie Digne, Loïs Paulin, Jean-Claude Iehl, Victor Ostromoukhov
arXiv 2023. [Paper]
10 Feb 2023
Information-Theoretic Diffusion
Xianghao Kong, Rob Brekelmans, Greg Ver Steeg
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7 Feb 2023
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport
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1 Feb 2023
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arXiv 2023. [Paper]
31 Jan 2023
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26 Jan 2023
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25 Jan 2023
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19 Jan 2023
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12 Jan 2023
Your diffusion model secretly knows the dimension of the data manifold
Georgios Batzolis1, Jan Stanczuk1, Carola-Bibiane Schönlieb
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23 Dec 2022
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance
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13 Dec 2022
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1 Dec 2022
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1 Dec 2022
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17 Nov 2022
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions
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3 Nov 2022
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26 Oct 2022
Diffusion Models for Causal Discovery via Topological Ordering
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12 Oct 2022
Regularizing Score-based Models with Score Fokker-Planck Equations
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9 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
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10 Oct 2022
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29 Sep 2022
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26 Sep 2022
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22 Sep 2022
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10 Aug 2022
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8 Jun 2022
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1 Jun 2022
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Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds
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Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study
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30 Mar 2023
AI-Generated 6G Internet Design: A Diffusion Model-based Learning Approach
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24 Mar 2023
Generative AI-aided Optimization for AI-Generated Content (AIGC) Services in Edge Networks
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23 Mar 2023
Stable Bias: Analyzing Societal Representations in Diffusion Models
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20 Mar 2023
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
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9 Mar 2023
Generating Initial Conditions for Ensemble Data Assimilation of Large-Eddy Simulations with Latent Diffusion Models
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1 Mar 2023
ReorientDiff: Diffusion Model based Reorientation for Object Manipulation
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28 Feb 2023
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2 Feb 2023
Denoising Diffusion for Sampling SAT Solutions
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NeurIPS Workshop 2022. [Paper]
30 Nov 2022
Generating astronomical spectra from photometry with conditional diffusion models
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NeurIPS Workshop 2022. [Paper] [Github]
10 Nov 2022
Graphically Structured Diffusion Models
Christian Weilbach, William Harvey, Frank Wood
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20 Oct 2022
Denoising Diffusion Error Correction Codes
Yoni Choukroun, Lior Wolf
arXiv 2022. [Paper]
16 Sep 2022
Recommendation via Collaborative Diffusion Generative Model
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19 Jul 2022
Deep Diffusion Models for Robust Channel Estimation
Marius Arvinte, Jonathan I Tamir
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16 Nov 2021
Diffusion models for Handwriting Generation
Troy Luhman1, Eric Luhman1
arXiv 2020. [Paper] [Github]
13 Nov 2020