March 28, 2024, 4:46 a.m. | Zhenzhi Wang, Jingbo Wang, Yixuan Li, Dahua Lin, Bo Dai

cs.CV updates on arXiv.org arxiv.org

arXiv:2311.15864v2 Announce Type: replace
Abstract: Text-conditioned human motion synthesis has made remarkable progress with the emergence of diffusion models in recent research. However, the majority of these motion diffusion models are primarily designed for a single character and overlook multi-human interactions. In our approach, we strive to explore this problem by synthesizing human motion with interactions for a group of characters of any size. The key aspect of our approach is the adaptation of human-wise interactions as pairs of human …

abstract arxiv cs.cv diffusion diffusion models emergence every explore generate however human human interactions interactions progress research synthesis text type

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