A Self-Attention Transformer-Based Architecture for Robust Image Deblurring
Image deblurring is a challenging task in computer vision because it is a difficult and spatially variant problem. This work presents a Transformer-based architecture that utilizes self-attention mechanisms to capture useful long-range dependencies in an image. Unlike traditional convolutional approaches, the proposed...