Selected Publications      (* denotes equal contribution)
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GarmentPile: Point-Level Visual Affordance Guided Retrieval and Adaptation for Cluttered Garments Manipulation
Ruihai Wu*,
Ziyu Zhu*,
Yuran Wang*,
Yue Chen,
Jiarui Wang,
Hao Dong
CVPR 2025
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We propose to learn point-level affordance to model the complex space and multi-modal manipulation candidates of garment piles, with novel designs for the awareness of garment geometry, structure, inter-object relations, and further adaptation.
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GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation
Haoran Lu*,
Ruihai Wu*,
Yitong Li*,
Sijie Li,
Ziyu Zhu,
Chuanruo Ning,
Yan Shen,
Longzan Luo,
Yuanpei Chen,
Hao Dong
NeurIPS 2024
Spotlight Presentation at ICRA 2024 Workshop on Deformable Object Manipulation
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We present GarmentLab, a benchmark designed for garment manipulation within realistic 3D indoor scenes. Our benchmark encompasses a diverse range of garment types, robotic systems and manipulators including dexterous hands. The multitude of tasks included in the benchmark enables further exploration of the interactions between garments, deformable objects, rigid bodies, fluids, and avatars.
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