Toolbox for GTA-Human Datasets

Useful links:

• Please visit our Homepage for more details.
• The toolchain used to interact with GTA-V and generate GTA-Human dataset families is released here.

Updates

• [2024-10-02] GTA-Human datasets are now available on HuggingFace!
• [2024-09-19] Release of GTA-Human II Dataset
• [2022-07-08] Release of GTA-Human Dataset on MMHuman3D

Datasets

Please click on the dataset name for download links and visualization instructions.

Features	GTA-Human	GTA-Human II
Num of Scenes	20,005	10,224
Num of Person Sequences	20,005	35,352
Color Images	Yes	Yes
3D BBox & Point Cloud	No	Yes
Parametric Model	SMPL	SMPL-X
Num of Persons per Scene	1	1-6

Installation

To use our visulization tools, relevant python packages need to be installed.

conda create -n gta-human python=3.9 -y
conda activate gta-human
pip install torch==1.12.1 opencv-python==4.10.0.84 smplx==0.1.28 chumpy==0.70 trimesh==4.4.3 tqdm==4.66.4 numpy==1.23.1 pyrender==0.1.45

It is also highly recommended to install openxlab package to facilitate file downloading.

pip install openxlab

If you'd like to use the visualizer_3d.py for GTA-Human II, please also install:

pip install open3d==0.14.1

Citation

@ARTICLE{10652891,
  author={Cai, Zhongang and Zhang, Mingyuan and Ren, Jiawei and Wei, Chen and Ren, Daxuan and Lin, Zhengyu and Zhao, Haiyu and Yang, Lei and Loy, Chen Change and Liu, Ziwei},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={Playing for 3D Human Recovery}, 
  year={2024},
  volume={},
  number={},
  pages={1-12},
  keywords={Three-dimensional displays;Annotations;Synthetic data;Shape;Training;Parametric statistics;Solid modeling;Human Pose and Shape Estimation;3D Human Recovery;Parametric Humans;Synthetic Data;Dataset},
  doi={10.1109/TPAMI.2024.3450537}
}