OTHER
AnyMo：基于掩码建模的任意模态条件运动生成扩展
Yiheng Li, Zhuo Li, Ruibing Hou, Yingjie Chen, Hong Chang, Hao Liu, Shiguang Shan
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
本文提出了AnyMo框架，结合残差FSQ运动分词器和可扩展掩码建模变换器，实现了在任意模态组合下的高质量人体运动合成。同时引入了大规模多模态对齐数据集OmniHuMo，显著提升了跨模态交互和条件运动生成的泛化能力。
关键词
human motion generationmultimodalmasked modelingdatasetscaling
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