Hybrid attention transformer with re-parameterized large kernel convolution for image super-resolution

Zhicheng Ma, Zhaoxiang Liu, Kai Wang, Shiguo Lian

Abstract: Highlights•The proposed module takes into account both high-frequency and low-frequency information of the image•The proposed module is conducive to generating clear texture details•The training strategy we proposed helps to reduce artifacts