Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies

Overview

News

  • 10/28/2021 To make the comparison with Animatable NeRF easier on the Human3.6M dataset, we save the quantitative results at here, which also contains the results of other methods, including Neural Body, D-NeRF, Multi-view Neural Human Rendering, and Deferred Neural Human Rendering.

Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies

Project Page | Video | Paper | Data

teaser

Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies
Sida Peng, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Hujun Bao, Xiaowei Zhou
ICCV 2021

Any questions or discussions are welcomed!

I will update the code and the document.

Since the license of Human3.6 dataset does not allow us to distribute its data, we cannot release the processed Human3.6 dataset publicly. If someone is interested at the processed data, please email me.

Installation

Please see INSTALL.md for manual installation.

Citation

If you find this code useful for your research, please use the following BibTeX entry.

@inproceedings{peng2021animatable,
  title={Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies},
  author={Peng, Sida and Dong, Junting and Wang, Qianqian and Zhang, Shangzhan and Shuai, Qing and Zhou, Xiaowei and Bao, Hujun},
  booktitle={ICCV},
  year={2021}
}
Owner
ZJU3DV
ZJU3DV is a research group of State Key Lab of CAD&CG, Zhejiang University. We focus on the research of 3D computer vision, SLAM and AR.
ZJU3DV
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