This article describes SwinIR, a state-of-the-art architecture for super-resolution and image denoising. It follows the articles describing transformers and Swin transformers that can be found here. It also discusses Shallow and Deep feature extraction with Residual Swin Transformer Block, HQ image reconstruction and per-pixel / perceptual / Charbonnier losses.

Continue reading “SwinIR: image super-resolution, denoising and JPEG compression artifact reduction”