CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution

arXiv:2405.07648v1 Announce Type: new
Abstract: Existing Blind image Super-Resolution (BSR) methods focus on estimating either kernel or degradation information, but have long overlooked the essential content details. In this paper, we propose a novel BSR approach, Content-aware Degradation-driven Transformer (CDFormer), to capture both degradation and content representations. However, low-resolution images cannot provide enough content details, and thus we introduce a diffusion-based module $CDFormer_{diff}$ to first learn Content Degradation Prior (CDP) in both low- and high-resolution images, and then approximate the …

arxiv blind cs.cv diffusion diffusion model eess.iv image prediction resolution type