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cs.CV2026
Breaking the Rigid Prior: Towards Articulated 3D Anomaly Detection
Jinye Gan, Bozhong Zheng, Xiaohao Xu +4
Existing 3D anomaly detection methods are built on a rigid prior: normal geometry is pose-invariant and can be canonicalized through registration or alignment. This prior does not…
cs.CV2026
Multi-turn Physics-informed Vision-language Model for Physics-grounded Anomaly Detection
Yao Gu, Xiaohao Xu, Yingna Wu
Vision-Language Models (VLMs) demonstrate strong general-purpose reasoning but remain limited in physics-grounded anomaly detection, where causal understanding of dynamics is essen…