A degradation-aware diffusion framework fuses multimodal images under arbitrary degradations by directly regressing the fused image and applying joint degradation-fusion constraints during limited-step sampling.
Fusionmamba: Dynamic feature enhancement for mul- timodal image fusion with mamba.Visual Intelligence, 2(1): 37
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The paper organizes the second multimodal deception detection challenge and the first domain-generalized remote physiological measurement challenge, with 22 teams submitting results and baselines released.
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Degradation-Robust Fusion: An Efficient Degradation-Aware Diffusion Framework for Multimodal Image Fusion in Arbitrary Degradation Scenarios
A degradation-aware diffusion framework fuses multimodal images under arbitrary degradations by directly regressing the fused image and applying joint degradation-fusion constraints during limited-step sampling.
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SVC 2026: the Second Multimodal Deception Detection Challenge and the First Domain Generalized Remote Physiological Measurement Challenge
The paper organizes the second multimodal deception detection challenge and the first domain-generalized remote physiological measurement challenge, with 22 teams submitting results and baselines released.