April 2, 2024, 7:48 p.m. | Mingyuan Zhang, Daisheng Jin, Chenyang Gu, Fangzhou Hong, Zhongang Cai, Jingfang Huang, Chongzhi Zhang, Xinying Guo, Lei Yang, Ying He, Ziwei Liu

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.01284v1 Announce Type: new
Abstract: Human motion generation, a cornerstone technique in animation and video production, has widespread applications in various tasks like text-to-motion and music-to-dance. Previous works focus on developing specialist models tailored for each task without scalability. In this work, we present Large Motion Model (LMM), a motion-centric, multi-modal framework that unifies mainstream motion generation tasks into a generalist model. A unified motion model is appealing since it can leverage a wide range of motion data to achieve …

abstract animation applications arxiv cs.cv dance focus framework human lmm modal multi-modal music production scalability specialist tasks text type video video production work

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