S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution

Minghao She, Wendong Mao, Huihong Shi +1

Nowadays, deep learning based methods have demonstrated impressive performance on ideal super-resolution (SR) datasets, but most of these methods incur dramatically performance dro…