Abstract: This paper presents UniVST, a unified framework for localized video style transfer based on diffusion models. It operates without the need for training, offering a distinct advantage over ...
Abstract: The inherent unpredictability of abnormal events in real-world Video Anomaly Detection (VAD) presents significant challenges for model generalization. Early unsupervised methods aim to ...
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