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Merge pull request #326 from paulmelis/main
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Added Sun et al. (NVIDIA)  "Sparse Voxels Rasterization: Real-time Hi…
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MrNeRF authored Feb 22, 2025
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thumbnail: assets/thumbnails/fan2024momentumgs.jpg
publication_date: '2024-12-06T09:31:12+00:00'
date_source: arxiv
- id: sun2024sparse
title: 'Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering'
authors: Cheng Sun, Jaesung Choe, Charles Loop, Wei-Chiu Ma, Yu-Chiang Frank Wang
year: '2024'
abstract: 'We propose an efficient radiance field rendering algorithm that incorporates
a rasterization process on sparse voxels without neural networks or 3D Gaussians.
There are two key contributions coupled with the proposed system. The first is
to render sparse voxels in the correct depth order along pixel rays by using dynamic
Morton ordering. This avoids the well-known popping artifact found in Gaussian
splatting. Second, we adaptively fit sparse voxels to different levels of detail
within scenes, faithfully reproducing scene details while achieving high rendering
frame rates. Our method improves the previous neural-free voxel grid representation
by over 4db PSNR and more than 10x rendering FPS speedup, achieving state-of-the-art
comparable novel-view synthesis results. Additionally, our neural-free sparse
voxels are seamlessly compatible with grid-based 3D processing algorithms. We
achieve promising mesh reconstruction accuracy by integrating TSDF-Fusion and
Marching Cubes into our sparse grid system.

'
project_page: https://svraster.github.io/
paper: https://arxiv.org/pdf/2412.04459.pdf
code: https://github.com/NVlabs/svraster
video: null
tags:
- Code
- Project
- Rendering
- Sparse
thumbnail: assets/thumbnails/sun2024sparse.jpg
publication_date: '2024-12-05T18:59:11+00:00'
date_source: arxiv
- id: liang2024feedforward
title: Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular
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