Guanxin Li

Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution

Recently, Transformer-based architecture has been introduced into face super-resolution task due to its advantage in capturing long-range dependencies. However, these approaches tend to integrate global information in a large searching region, which neglect to focus on the most relevant information…