AI RESEARCH
One-to-More: High-Fidelity Training-Free Anomaly Generation with Attention Control
arXiv CS.CV
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ArXi:2603.18093v1 Announce Type: new Industrial anomaly detection (AD) is characterized by an abundance of normal images but a scarcity of anomalous ones. Although numerous few-shot anomaly synthesis methods have been proposed to augment anomalous data for downstream AD tasks, most existing approaches require time-consuming