Datasets:
Languages:
English
Size:
100B<n<1T
ArXiv:
Tags:
Human Pose and Shape Estimation
Multi-modal
Mobile Device
3D Vision
Human Reconstruction
Motion Generation
License:
| license: other | |
| license_name: s-lab-license | |
| license_link: LICENSE | |
| language: | |
| - en | |
| tags: | |
| - Human Pose and Shape Estimation | |
| - Multi-modal | |
| - Mobile Device | |
| - 3D Vision | |
| - Human Reconstruction | |
| - Motion Generation | |
| pretty_name: HuMMan | |
| size_categories: | |
| - 100B<n<1T | |
| # HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling (ECCV 2022, Oral) | |
| - [Homepage](https://caizhongang.github.io/projects/HuMMan/) | |
| - [Toolbox](https://github.com/caizhongang/humman_toolbox/tree/main) | |
| - [Paper](https://arxiv.org/abs/2204.13686) | |
| ## Updates | |
| - [2024-10-02] HuMMan is now available on HuggingFace! | |
| - [2024-09-10] Release of HuMMan v1.0: Motion Generation Subset (HuMMan-MoGen) | |
| - [2024-08-29] Release of HuMMan v1.0: 3D Vision Subset (HuMMan-Point) | |
| - [2024-08-29] We have changed our data host! All download instructions have been updated | |
| - [2024-07-27] HuMMan-Recon: Release of depth maps for the Reconstruction Subset | |
| - [2023-04-25] HuMMan-Recon: Release of manually annotated masks for color images in the test split | |
| - [2023-02-27] HuMMan-Recon: Downloads are organized by modalities, links have been updated | |
| - [2023-01-23] HuMMan-Recon: Release of textured meshes for the Reconstruction Subset, and a toolbox | |
| - [2023-01-23] HuMMan-Recon: Minor fixes on the mask data, download links have been updated | |
| - [2023-01-11] Release of HuMMan v1.0: Reconstruction Subset (HuMMan-Recon) | |
| - [2022-10-27] We presented HuMMan as an oral paper at ECCV'22 (Tel Aviv, Israel) | |
| - [2022-08] Release of HuMMan v0.1 (no longer available, please use v1.0) | |
| ## Datasets | |
| - [HuMMan-Recon](https://caizhongang.com/projects/HuMMan/recon.html): HuMMan v1.0: Reconstruction Subset | |
| - [HuMMan-Point](https://caizhongang.com/projects/HuMMan/point.html): HuMMan v1.0: 3D Vision Subset | |
| - [HuMMan-MoGen](https://caizhongang.com/projects/HuMMan/mogen.html): HuMMan v1.0: Motion Generation Subset | |
| ## Citation | |
| Please cite our work if you use our datasets (`HuMMan-Recon`, `HuMMan-Point`, or `HuMMan-MoGen`) in your research. | |
| ```text | |
| @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. | |
| ```text | |
| @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}, | |
| } | |
| ``` | |