AI RESEARCH
TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation
arXiv CS.CV
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ArXi:2408.17135v5 Announce Type: replace Human-human motion generation is essential for understanding humans as social beings. Current methods fall into two main categories: single-person-based methods and separate modeling-based methods. To delve into this field, we abstract the overall generation process into a general framework MetaMotion, which consists of two phases: temporal modeling and interaction mixing.