The code for TIP 2022 paper "Pose2UV: Single-shot Multi-person Mesh Recovery with Deep UV Prior"
Buzhen Huang, Tianshu Zhang, Yangang Wang
[Project] [Paper] [Dataset]
Create conda environment and install dependencies.
conda create -n pose2uv python=3.8
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu111 # install pytorch
Due to the licenses, please download SMPL model file here.
Download trained models from here.
python demo.py --config cfg_files/demo.yaml
python main.py --config cfg_files/train.yaml
python main.py --config cfg_files/test.yaml
python main.py --config cfg_files/poseseg.yaml
3DMPB is a multi-person dataset in the outdoor sport field with human interaction occlusion and image truncation. This dataset provides annotations including bounding-box, human 2D pose, SMPL model annotations, instance mask and camera parameters.
If you find this code or dataset useful for your research, please consider citing the paper.
@article{huang2022pose2uv,
title={Pose2UV: Single-shot Multi-person Mesh Recovery with Deep UV Prior},
author={Huang, Buzhen and Zhang, Tianshu and Wang, Yangang},
journal={IEEE Transactions on Image Processing},
year={2022},
volume={31},
pages={4679-4692}
}
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