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• W4386071605 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 beings. To address such a challenge, we first design CAnonicalized Manipulation Spaces (CAMS), a two-level space hierarchy that canonicalizes the hand poses in an object-centric and contact-centric view. Benefiting from the representation capability of CAMS, we then present a two-stage framework for synthesizing human-like manipulation animations. Our framework achieves state-of-the-art performance for both rigid and articulated categories with impressive visual effects. Codes and video results can be found at our project homepage: https://cams-hoi.github.io/" @default.
• W4386071605 created "2023-08-23" @default.
• W4386071605 creator A5003065832 @default.
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• W4386071605 date "2023-06-01" @default.
• W4386071605 modified "2023-09-27" @default.
• W4386071605 title "CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis" @default.
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• W4386071605 doi "https://doi.org/10.1109/cvpr52729.2023.00064" @default.
• W4386071605 hasPublicationYear "2023" @default.
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