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Scaling Up Dynamic Human-Scene Interaction Modeling
March 14, 2024, 4:46 a.m. | Nan Jiang, Zhiyuan Zhang, Hongjie Li, Xiaoxuan Ma, Zan Wang, Yixin Chen, Tengyu Liu, Yixin Zhu, Siyuan Huang
cs.CV updates on arXiv.org arxiv.org
Abstract: Confronting the challenges of data scarcity and advanced motion synthesis in human-scene interaction modeling, we introduce the TRUMANS dataset alongside a novel HSI motion synthesis method. TRUMANS stands as the most comprehensive motion-captured HSI dataset currently available, encompassing over 15 hours of human interactions across 100 indoor scenes. It intricately captures whole-body human motions and part-level object dynamics, focusing on the realism of contact. This dataset is further scaled up by transforming physical environments into …
abstract advanced arxiv challenges cs.cv data dataset dynamic human human interactions interactions modeling novel scaling scaling up synthesis type
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