AI RESEARCH
PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion
arXiv CS.AI
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ArXi:2505.22564v2 Announce Type: replace-cross Video dataset condensation aims to reduce the immense computational cost of video processing. However, it faces a fundamental challenge regarding the inseparable interdependence between spatial appearance and temporal dynamics. Prior work follows a static/dynamic disentanglement paradigm where videos are decomposed into static content and auxiliary motion signals. This multi-stage approach often misrepresents the intrinsic coupling of real-world actions. We