[IPOL announce] new article: A Brief Analysis of the SwinIR Image Super-Resolution

[announcements about the IPOL journal]

A new article is available in IPOL: https://www.ipol.im/pub/art/2022/430/

Ngoc-Long Nguyen,
A Brief Analysis of the SwinIR Image Super-Resolution,
Image Processing On Line, 12 (2022), pp. 582–589.
https://doi.org/10.5201/ipol.2022.430


Abstract
SwinIR is a recent image restoration method based on the Swin 
Transformer architecture. In contrast to other traditional convolutional 
neural networks, SwinIR is capable of capturing sophisticated attention 
between image patches, leading to remarkable results. In this paper, we 
focus on the aspect of single-image super-resolution by SwinIR. We 
discuss the characteristics of the architecture of this algorithm and 
compare it to other deep learning methods.