April 9, 2024, 4:48 a.m. | Xianghui Xie, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll

cs.CV updates on arXiv.org arxiv.org

arXiv:2312.07063v3 Announce Type: replace
Abstract: Reconstructing human-object interaction in 3D from a single RGB image is a challenging task and existing data driven methods do not generalize beyond the objects present in the carefully curated 3D interaction datasets. Capturing large-scale real data to learn strong interaction and 3D shape priors is very expensive due to the combinatorial nature of human-object interactions. In this paper, we propose ProciGen (Procedural interaction Generation), a method to procedurally generate datasets with both, plausible interaction …

abstract arxiv beyond cs.cv data datasets free human image learn object objects real data scale template type

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