self-similarity refers to the image prior widely used in image restoration
algorithms that small but similar patterns tend to occur at different locations
and scales. However, recent advanced deep convolutional n
Transformer-based methods have limitations in utilizing input information, so a Hybrid Attention Transformer (HAT) is proposed to improve restoration tasks by combining channel attention and window-based self-attention schemes.