Siyue Yao

DriftRemover: Hybrid Energy Optimizations for Anomaly Images Synthesis and Segmentation

This paper tackles the challenge of anomaly image synthesis and segmentation to generate various anomaly images and their segmentation labels to mitigate the issue of data scarcity. Existing approaches employ the precise mask to guide the generation, relying on additional mask generators, leading to