ExpertEdit: Learning Skill-Aware Motion Editing from Expert Videos
Visual feedback is critical for motor skill acquisition in sports and rehabilitation, and psychological studies show that observing near-perfect versions of one's own performance accelerates learning more effectively than watching expert demonstrations alone. We propose to enable such personalized feedback by automatically editing a person's motion to reflect higher skill. Existing motion editing approaches are poorly suited for this setting because they assume paired input-output data -- rare and expensive to curate for skill-driven tasks -- and explicit edit guidance at inference. We introduce ExpertEdit, a framework for skill-driven motion editing trained exclusively on unpaired expert...
| Authors | Arjun Somayazulu, Kristen Grauman |
|---|---|
| Primary category | cs.CV |
| Published | 12 April 2026 |
| Last updated at source | 17 August 2026 |
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