First dataset of dressed humans with specific geometry representation for the clothes. It contains ~2 Million images with 40 male/40 female performing 70 actions. Every subject-action sequence is captured from 4 camera views and annotated with: RGB, 3D skeleton, body part and cloth segmentation masks, depth map, optical flow, and camera parameters.
- Train: woman01-woman33 man01-man33
- Test: woman34-woman40 man34-man40
Download jupyter notebook. You can use the sample dataset. Full dataset can be download in the dataset website.
conda create -n 3dpeople
source activate 3dpeople
conda install matplotlib opencv pillow scipy
conda install -c conda-forge ipywidgets=7.2.1
conda install -c plotly chart-studio
jupyter nbextension enable --py widgetsnbextension
jupyter notebook vis_dataset.ipynb
Inside notebook select the sequence to visualize: "seq_name=..." in first cell
@inproceedings{pumarola20193dpeople,
title={{3DPeople: Modeling the Geometry of Dressed Humans}},
author={Pumarola, Albert and Sanchez, Jordi and Choi, Gary and Sanfeliu, Alberto and Moreno-Noguer, Francesc},
booktitle={International Conference in Computer Vision (ICCV)},
year={2019}
}