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Zhewei Dai

1 accepted papers

2025

SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning

ICCV 2025poster

We introduce SeaS, a unified industrial generative model for automatically creating diverse anomalies, authentic normal products, and precise anomaly masks. While extensive research exists, most efforts either focus on specific tasks, i.e., anomalies or normal products only, or require separate mode…