AI RESEARCH
MIND: Multi-Scale Intent Diffusion for Text-Driven Physics-Based Humanoid Control
arXiv CS.CV
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ArXi:2605.26006v2 Announce Type: replace Enabling physics-based humanoids to execute diverse behaviors from high-level textual commands remains a significant challenge. Existing methods typically follow either a two-stage paradigm that combines kinematic motion generation with physics-based tracking, or an end-to-end imitation-learning paradigm that directly generates actions from text.