Mean-Shifted Contrastive Loss for Anomaly Detection
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2106.03844
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Yedid Hoshen
yedid
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Mean-Shifted Contrastive Loss for Anomaly Detection
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Recovering the Pre-Fine-Tuning Weights of Generative Models
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Back to the Feature: Classical 3D Features are (Almost) All You Need for
3D Anomaly Detection
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Recovering the Pre-Fine-Tuning Weights of Generative Models
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2402.10208
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7
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
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2203.05550
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Distilling Datasets Into Less Than One Image
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2403.12040
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1
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion
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2403.18818
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24
ObjectMate: A Recurrence Prior for Object Insertion and Subject-Driven Generation
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2412.08645
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