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

1 code implementation • 13 May 2024 • Qingguo Liu, Chenyi Zhuang, Pan Gao, Jie Qin

Existing Blind image Super-Resolution (BSR) methods focus on estimating either kernel or degradation information, but have long overlooked the essential content details.

Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution

1 code implementation • 6 Oct 2023 • Qingguo Liu, Pan Gao, Kang Han, Ningzhong Liu, Wei Xiang

In particular, we integrate both CNN and Transformer components into the SR network, where we first use the CNN modulated by the degradation information to extract local features, and then employ the degradation-aware Transformer to extract global semantic features.

Blind Super-Resolution Contrastive Learning +2