Decoupling Cross-Modality Manifold Discrepancy: Leveraging Visible Diffusion Priors for Infrared Super-Resolution

TL;DR - Shift-IISR is a dual-path diffusion framework that adapts visible-image diffusion priors for infrared image super-resolution. It aims to improve global distribution and local structural consistency without sacrificing diffusion models’ generative capacity.

• Global Representation Modulation extracts infrared-specific information to steer outputs toward the ground-truth distribution.
• Local Structure Refinement emphasizes structural details throughout iterative denoising.
• Experiments report improved distributional and structural consistency with competitive super-resolution performance.
• The authors provide a public code repository.