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Plenoxels: Radiance Fields without Neural Networks

2021-12-09 · CVPR 2022 1 · Alex Yu, Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa

We introduce Plenoxels (plenoptic voxels), a system for photorealistic view synthesis. Plenoxels represent a scene as a sparse 3D grid with spherical harmonics. This representation can be optimized from calibrated images via gradient methods and regularization without any neural components. On standard, benchmark tasks, Plenoxels are optimized two orders of magnitude faster than Neural Radiance Fields with no loss in visual quality.

📄 PDF Abstract BibTeX arXiv:2112.05131

Code (4)

sxyu/svox2 공식 구현 pytorch
3a1b2c3/seeingSpace pytorch
kakaobrain/NeRF-Factory jax
ysus33/rgb-d_plenoxel_mapping_tracking pytorch

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