Datasets:

caizhongang
/

HuMMan

+S-Lab License 1.0
+Copyright 2022 S-Lab
+Redistribution and use for non-commercial purpose in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
+1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
+2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
+3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+4. In the event that redistribution and/or use for commercial purpose in source or binary forms, with or without modification is required, please contact the contributor(s) of the work.

README.md CHANGED Viewed

@@ -1,5 +1,70 @@
----
-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},
+}
+```