AI RESEARCH
CC-Pan: Channel-wise Compression based Diffusion for Efficient Pan-Sharpening
arXiv CS.CV
•
ArXi:2602.04473v2 Announce Type: replace Recently, diffusion models have brought novel insights to pan-sharpening and notably boosted fusion precision. However, most existing models perform diffusion in the pixel space and train distinct models for different multispectral (MS) sensors, suffering from high inference latency and sensor-specific limitations. In this paper, we present CC-Pan, a cross-sensor latent diffusion framework for efficient pan-sharpening.