60 citations · 67 across the 7 of their papers we have counts for
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cs.CV2026
DeCo: Zero-Shot Industrial Anomaly Generation through Decoupling and Recoupling
Shilei Zeng, Xurui Li, Yaohan Tang +1
Industrial anomaly inspection is severely hindered by the scarcity of real anomalous data. Zero-shot industrial anomaly generation addresses this by generating anomalies on specifi…
cs.CV2026
UniScale: Arbitrary-Scale Industrial Anomaly Generation
Shilei Zeng, Linxin Guan, Xurui Li +2
Industrial anomaly inspection faces a major challenge due to the lack of real-world anomaly samples. While generative models are used to create anomaly data, existing methods still…