Project Page: https://haiminluo.github.io/publication/artemis
This repository contains a differentiable dynamic animatable volume and renderer implementation as a PyTorch CUDA extension described in
Artemis: Articulated Neural Pets with Appearance and Motion Synthesis
Luo, Haimin and Xu, Teng and Jiang, Yuheng and Zhou, Chenglin and Qiu, Qiwei and Zhang, Yingliang and Yang, Wei and Xu, Lan and Yu, Jingyi
This codebase supports real-time volume animating, real-time octree construction and real-time feature-level volume rendering with opacity/depth generation.
Please also refer to the following repositories
- Artemis - NGI animals and high quality multi-view datasets for furry animals with motions: https://github.com/HaiminLuo/Artemis
python setup.py install
svox_t stands for sparse voxel octree extension for temporal scenes.
We would like to thank PlenOctree authors for releasing their implementations.
If you find our code or paper helps, please consider citing:
@article{10.1145/3528223.3530086,
author = {Luo, Haimin and Xu, Teng and Jiang, Yuheng and Zhou, Chenglin and Qiu, Qiwei and Zhang, Yingliang and Yang, Wei and Xu, Lan and Yu, Jingyi},
title = {Artemis: Articulated Neural Pets with Appearance and Motion Synthesis},
year = {2022},
issue_date = {July 2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {41},
number = {4},
issn = {0730-0301},
url = {https://doi.org/10.1145/3528223.3530086},
doi = {10.1145/3528223.3530086},
journal = {ACM Trans. Graph.},
month = {jul},
articleno = {164},
numpages = {19},
keywords = {novel view syntheis, neural rendering, dynamic scene modeling, neural volumetric animal, motion synthesis, neural representation}
}