MimicX: Policy-in-the-Loop Supervision Refinement for Video-Driven Humanoid Motion Tracking.

arXiv:2610.09055v1 Announce Type: cross Abstract: Human videos provide rich motion targets for humanoid learning, yet visually plausible references can still produce persistent failures under physics-based execution. These failures reveal where training superv