Component-Based OOD Detection decomposes inputs into functional components via Component Shift Score and Compositional Consistency Score, improving coarse- and fine-grained out-of-distribution detection without training.
AnyMo introduces OmniHuMo dataset with 5,000 hours of multimodal motion data and proposes a masked modeling framework for scalable any-modality conditional motion synthesis with flexible spatial and stylistic control.
CaC advances video reward models via hierarchical spatiotemporal concentrating, improving fine-grained anomaly accuracy by 25.7% and reducing generated-video anomalies by 11.7%.