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Preprint Sep 2026

Copy What Is Seen, Generate What Is Not: Training-Free Anomaly-Aware Video Restoration

A surveillance system that detects an anomaly often has to repair the footage as well, yet the two tasks are studied in isolation: training-free anomaly detectors stop at a score or a label, while training-free video editing answers to a user prompt rather than to a detector. This paper proposes AVR (Anomaly-aware Vide...

Zhi-Da Qu, Sheng Chen · 0 citations

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