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cs.CV2025
Unsupervised Multi-View Visual Anomaly Detection via Progressive Homography-Guided Alignment
Xintao Chen, Xiaohao Xu, Bozhong Zheng +2
Unsupervised visual anomaly detection from multi-view images presents a significant challenge: distinguishing genuine defects from benign appearance variations caused by viewpoint…
cs.CV2025
Bridging 3D Anomaly Localization and Repair via High-Quality Continuous Geometric Representation
Bozhong Zheng, Jinye Gan, Xiaohao Xu +5
3D point cloud anomaly detection is essential for robust vision systems but is challenged by pose variations and complex geometric anomalies. Existing patch-based methods often suf…
cs.CV2025
Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection
Wenqiao Li, Yao Gu, Xintao Chen +4
Humans detect real-world object anomalies by perceiving, interacting, and reasoning based on object-conditioned physical knowledge. The long-term goal of Industrial Anomaly Detecti…