MagicFuse derives a cross-spectral scene representation from one degraded visible image via intra-spectral reinforcement and cross-spectral generation diffusion branches whose probabilistic outputs are fused under visual and semantic constraints.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
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.
citing papers explorer
-
MagicFuse: Single Image Fusion for Visual and Semantic Reinforcement
MagicFuse derives a cross-spectral scene representation from one degraded visible image via intra-spectral reinforcement and cross-spectral generation diffusion branches whose probabilistic outputs are fused under visual and semantic constraints.
-
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.