HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling
Paper • 2204.13686 • Published
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Please cite our work if you use our datasets (HuMMan-Recon, HuMMan-Point, or HuMMan-MoGen) in your research.
@inproceedings{cai2022humman,
title={{HuMMan}: Multi-modal 4d human dataset for versatile sensing and modeling},
author={Cai, Zhongang and Ren, Daxuan and Zeng, Ailing and Lin, Zhengyu and Yu, Tao and Wang, Wenjia and Fan,
Xiangyu and Gao, Yang and Yu, Yifan and Pan, Liang and Hong, Fangzhou and Zhang, Mingyuan and
Loy, Chen Change and Yang, Lei and Liu, Ziwei},
booktitle={17th European Conference on Computer Vision, Tel Aviv, Israel, October 23--27, 2022,
Proceedings, Part VII},
pages={557--577},
year={2022},
organization={Springer}
}
Please also cite FineMoGen if you use the HuMMan-MoGen subset.
@article{zhang2023finemogen,
title = {FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing},
author = {Zhang, Mingyuan and Li, Huirong and Cai, Zhongang and Ren, Jiawei and Yang, Lei and Liu, Ziwei},
year = {2023},
journal = {NeurIPS},
}