AI RESEARCH
Multi-scale Coarse-to-fine Modeling for Test-time Human Motion Control
arXiv CS.CV
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ArXi:2605.14935v1 Announce Type: new We present MSCoT, a multi-scale, coarse-to-fine model for test-time human motion synthesis and control. Unlike recent approaches that rely on multiple iterative denoising/token-prediction steps, or modules tailored for specific control signals, MSCoT discretizes motion into a multi-scale hierarchical representation and predicts the entire token sequence at each temporal scale in a coarse-to-fine fashion.