ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment
Abstract
We present ClothesNet: a large-scale dataset of 3D clothes objects with information-rich annotations. Our dataset consists of around 4000 models covering 11 categories annotated with clothes features, boundary lines, and keypoints. ClothesNet can be used to facilitate a variety of computer vision and robot interaction tasks. Using our dataset, we establish benchmark tasks for clothes perception, including classification, boundary line segmentation, and keypoint detection, and develop simulated clothes environments for robotic interaction tasks, including rearranging, folding, hanging, and dressing. We also demonstrate the efficacy of our ClothesNet in real-world experiments.
Cite
Text
Zhou et al. "ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment." International Conference on Computer Vision, 2023. doi:10.1109/ICCV51070.2023.01868Markdown
[Zhou et al. "ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment." International Conference on Computer Vision, 2023.](https://mlanthology.org/iccv/2023/zhou2023iccv-clothesnet/) doi:10.1109/ICCV51070.2023.01868BibTeX
@inproceedings{zhou2023iccv-clothesnet,
title = {{ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment}},
author = {Zhou, Bingyang and Zhou, Haoyu and Liang, Tianhai and Yu, Qiaojun and Zhao, Siheng and Zeng, Yuwei and Lv, Jun and Luo, Siyuan and Wang, Qiancai and Yu, Xinyuan and Chen, Haonan and Lu, Cewu and Shao, Lin},
booktitle = {International Conference on Computer Vision},
year = {2023},
pages = {20428-20438},
doi = {10.1109/ICCV51070.2023.01868},
url = {https://mlanthology.org/iccv/2023/zhou2023iccv-clothesnet/}
}