ReGenNet: Towards Human Action-Reaction Synthesis

This repository contains the content of the following paper:

ReGenNet: Towards Human Action-Reaction Synthesis
Liang Xu^1,2, Yizhou Zhou³, Yichao Yan¹, Xin Jin², Wenhan Zhu, Fengyun Rao³, Xiaokang Yang¹, Wenjun Zeng^2
1 Shanghai Jiao Tong University ² Eastern Institute of Technology, Ningbo ³WeChat, Tencent Inc.

News

• [2024.03.18] We release the paper and project page of ReGenNet.

TODO

• Release the training, evaluating codes, and the trained models.
• Release the annotation results.

Plese stay tuned for any updates of the code!

Framework

Citation

If you find ReGenNet is useful for your research, please cite us:

@article{xu2024regennet,
  title={ReGenNet: Towards Human Action-Reaction Synthesis},
  author={Xu, Liang and Zhou, Yizhou and Yan, Yichao and Jin, Xin and Zhu, Wenhan and Rao, Fengyun and Yang, Xiaokang and Zeng, Wenjun},
  journal={arXiv preprint arXiv:2403.11882},
  year={2024}
}