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ExpertEdit framework learns skill-aware motion editing from expert videos

By PulseAugur Editorial · [1 sources] ·

Researchers have developed ExpertEdit, a novel framework for skill-driven motion editing that learns from unpaired expert video demonstrations. This system uses a masked language modeling objective to refine motion sequences, enabling it to project novice motions into an expert manifold for localized skill improvements. ExpertEdit has demonstrated superior performance compared to supervised methods across various sports and techniques, as validated on the Ego-Exo4D and Karate Kyokushin datasets. AI

IMPACT Enables personalized feedback for skill acquisition in sports and rehabilitation by automatically refining novice movements.

RANK_REASON The item is a research paper published on arXiv detailing a new method for motion editing. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ExpertEdit framework learns skill-aware motion editing from expert videos

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The item is a research paper published on arXiv detailing a new method for motion editing. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Arjun Somayazulu, Kristen Grauman ·

    ExpertEdit: Learning Skill-Aware Motion Editing from Expert Videos

    arXiv:2604.10466v2 Announce Type: replace Abstract: 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 watchi…

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