- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation / paper / supplemental / video / project / CVPR 2017 / PointNet
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space / paper / project / NIPS 2017 / PointNet++
- SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters / paper / project / ECCV 2018 / SpiderCNN
- Dynamic Graph CNN for Learning on Point Clouds / paper / project / ACM Transactions on Graphics 2019 / DGCNN
- KPConv: Flexible and Deformable Convolution for Point Clouds / paper / supplemental / project / ICCV 2019 / KPConv
- Point Transformer / paper / supplemental / project / ICCV 2021 / Point Transformer
- RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds / paper / supplemental / project / CVPR 2020 / RandLA-Net
- PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation / paper / video / project / CVPR 2020 / PolarNet
- Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation / paper / project / CVPR 2021 / Cylinder3D
- (AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network / paper / CVPR 2021 / (AF)$^2$-S3Net
- TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module / paper / ICRA 2021 / TornadoNet
- AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation / paper / arXiv /AMVNet
- DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation / paper / ICCV 2021 /DRINet
- DRINet++: Efficient Voxel-as-point Point Cloud Segmentation / paper / arXiv / DRINet++
- Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution / paper / project / ECCV 2020 / SPVConv
- RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation / paper / ICCV 2021 / RPVNet
- Learning 3D Semantic Segmentation with only 2D Image Supervision / paper / 3DV 2021 / 2D3DNet
- 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds / paper / project / ECCV2022 / 2DPASS