April 5, 2024, 4:46 a.m. | Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-moll

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.01758v2 Announce Type: replace
Abstract: Generating realistic hand motion sequences in interaction with objects has gained increasing attention with the growing interest in digital humans. Prior work has illustrated the effectiveness of employing occupancy-based or distance-based virtual sensors to extract hand-object interaction features. Nonetheless, these methods show limited generalizability across object categories, shapes and sizes. We hypothesize that this is due to two reasons: 1) the limited expressiveness of employed virtual sensors, and 2) scarcity of available training data. To …

abstract arxiv attention cs.cv digital digital humans extract features geometry humans object objects prior sensors show synthesis type virtual work

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