Residual Conditional Diffusion with Transformer Refinement for Unsupervised Infrared–Visible Image Fusion
MRCDFusion, an unsupervised infrared–visible image fusion network based on residual conditional diffusion and Transformer refinement, achieves particularly strong performance in gradient- and edge-related metrics while remaining competitive in visual information fidelity and cross-modal correlation metrics.