AI RESEARCH
EMA: Effort Metric Attention for Anatomical Effort-Guided Human Motion Diffusion
arXiv CS.LG
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ArXi:2605.24566v1 Announce Type: cross Human motion diffusion models can synthesize action sequences from text, but controlling motion intensity remains challenging. Existing approaches rely on effort-related adverbs, which are ambiguous and fail to capture quantitative aspects such as pacing, often resulting in flat and monotonous dynamics. We propose an intensity-control framework based on Effort Metric Attention (EMA), a cross-attention module that conditions diffusion on numerical effort signals.