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SwinIR: Image Restoration with Transformers by levi vasconcelos is a document available to read on EtoBox.

This document describes a new method called SwinIR that uses Swin Transformers for image restoration tasks like super resolution, denoising, and compression artifact reduction. SwinIR achieves better performance than existing CNN-based methods using fewer parameters by leveraging the advantages of both CNNs and Transformers for modeling local dependencies and long-range interactions.

Author
levi vasconcelos
Language
EN