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Hi4D: 4D Instance Segmentation of Close Human Interaction
Project Page | Paper | Video | Data
<img src="assets/teaser.png"/> Hi4D (Humans interacting in 4D), a dataset of humans in close physical interaction that contains (A) 4D textured scans, (B) instance meshes with vertex-level contact annotations, (C) instance segmentation masks in 2D and 3D, (D) registered parametric body models with contact annotations.Contents
Hi4D Dataset
Please fill out the Hi4D Application Form to access Hi4D. We will send you an email with more information after approval of your application.
Hi4D dataset structure can be found in Dataset Structure.
Visualization
We use AITViewer to visualize the dataset.
Installation
pip install aitviewer
Usage
- Change the
smplx_models
parameter invisualize_hi4d.py
to the path of SMPL models. More information please refer to AITViewer Documentation. - Change the
HI4D_PATH
parameter invisualize_hi4d.py
to the path of Hi4D dataset. - Run the following command to visualize the dataset.
python visualize_hi4d.py --pair {PAIRXX} --action {ACTIONXX} --vis {VIS_TYPE}
Citation
If you find this work useful for your research, please cite our paper:
@inproceedings{yin2023hi4d,
author = {Yin, Yifei and Guo, Chen and Kaufmann, Manuel and Zarate, Juan and Song, Jie and Hilliges, Otmar},
title = {Hi4D: 4D Instance Segmentation of Close Human Interaction},
booktitle = {Computer Vision and Pattern Recognition (CVPR)},
year = {2023}
}
Contact
If you have any questions, please contact Chen Guo.