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CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis

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CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis Juntian Zheng * 1,3 , Lixing Fang * 1,3 , Qingyuan Zheng * 3 , Yun Liu 1 , Li Yi † 1,2,3 , 1 IIIS, Tsinghua University 2 Shanghai Artificial Intelligence Laboratory 3 Shanghai Qi Zhi Institute *Equal contribution with the order determined by rolling dice IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Paper Supp arXiv Video Code Abstract In this work, we focus on a novel task of category-level functional hand-object manipulation synthesis covering both rigid and articulated object categories. Given an object geometry, an initial human hand pose as well as a sparse control sequence of object poses, our goal is to generate a physically reasonable hand-object manipulation sequence that performs like human be...

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