ClothesNet: 情報豊富な3D衣服モデルリポジトリとシミュレーション衣服環境
ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment
11カテゴリ約4400体の3D衣服モデルに特徴・境界線・キーポイントを注釈付与した大規模データセットを構築し、衣服の認識ベンチマークとロボット操作(折り畳み・吊り下げ・着衣など)のシミュレーション環境を提供した。
著者: Bingyang Zhou, Haoyu Zhou, Tianhai Liang, Qiaojun Yu, Siheng Zhao, Yuwei Zeng, Jun Lv, Siyuan Luo, Qiancai Wang, Xinyuan Yu, Haonan Chen, Cewu Lu, Lin Shao
分類: cs.RO, cs.AI, cs.CV
原文アブストラクト
We present ClothesNet: a large-scale dataset of 3D clothes objects with information-rich annotations. Our dataset consists of around 4400 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. Supplemental materials and dataset are available on our project webpage.
