Awesome
Compressing Volumetric Radiance Fields to 1 MB (CVPR2023)
<a href="https://arxiv.org/abs/2211.16386"><img src="https://img.shields.io/badge/arXiv-2211.16386-b31b1b.svg" height=22.5></a>
Lingzhi Li*, Zhen Shen*, Zhongshu Wang, Li Shen, Liefeng Bo
Alibaba Group
:+1:Update: We Released VQ-TensoRF :+1:
Citation:
@inproceedings{li2023compressing,
title={Compressing volumetric radiance fields to 1 mb},
author={Li, Lingzhi and Shen, Zhen and Wang, Zhongshu and Shen, Li and Bo, Liefeng},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={4222--4231},
year={2023}
}
Note: This repository only contain VQ-DVGO.
Setup
-
Download datasets: NeRF NSVF, T&T (masked)
-
Install required libraries
pip install -r requirements.txt
cd lib/cuda
python setup.py install
Please install the correct version of Pytorch and torch_scatter for your machine.
Directory structure for the datasets
<!-- <details> <summary> (click to expand;) </summary> -->data
├── nerf_synthetic # Link: https://drive.google.com/drive/folders/128yBriW1IG_3NJ5Rp7APSTZsJqdJdfc1
│ └── [chair|drums|ficus|hotdog|lego|materials|mic|ship]
│ ├── [train|val|test]
│ │ └── r_*.png
│ └── transforms_[train|val|test].json
│
├── Synthetic_NSVF # Link: https://dl.fbaipublicfiles.com/nsvf/dataset/Synthetic_NSVF.zip
│ └── [Bike|Lifestyle|Palace|Robot|Spaceship|Steamtrain|Toad|Wineholder]
│ ├── intrinsics.txt
│ ├── rgb
│ │ └── [0_train|1_val|2_test]_*.png
│ └── pose
│ └── [0_train|1_val|2_test]_*.txt
│
│
└── TanksAndTemple # Link: https://dl.fbaipublicfiles.com/nsvf/dataset/TanksAndTemple.zip
└── [Barn|Caterpillar|Family|Ignatius|Truck]
├── intrinsics.txt
├── rgb
│ └── [0|1|2]_*.png
└── pose
└── [0|1|2]_*.txt
<!-- </details> -->
Training
# for nerf_synthetic datasets
python autotask_final.py -g "0 1 2 3 4 5 6 7" --configname syn_4096code
# for Synthetic_NSVF datasets
python autotask_final.py -g "0 1 2 3 4 5 6 7" --configname nsvf_4096code --dataset nsvf
# for TanksAndTemple datasets
python autotask_final.py -g "0 1 2 3 4 5 6 7" --configname tnt_4096code --dataset tnt
Fixing TanksandTemples dataset following this issue
Set -g
option according to the availible gpu on your machine.
Testing
# for nerf_synthetic datasets
python autotask_eval_only.py -g "0 1 2 3 4 5 6 7" --configname syn_4096code
# for Synthetic_NSVF datasets
python autotask_eval_only.py -g "0 1 2 3 4 5 6 7" --configname nsvf_4096code --dataset nsvf
# for TanksAndTemple datasets
python autotask_eval_only.py -g "0 1 2 3 4 5 6 7" --configname tnt_4096code --dataset tnt