Swin2SR is a computer vision model that performs image super-resolution and restoration on compressed images using a Swin transformer architecture. The model was developed for the AIM workshop at ECCV 2022 and supports tasks including JPEG artifact reduction, denoising, and general image enhancement. It provides pretrained weights and inference code for applying the model to real-world image restoration tasks.