Update README.md

README.md

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----
-license: other
-license_name: s-lab-license
-license_link: 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},
+}
+```