- Published on December 5, 2021
- In Deep Tech
A Hands-On Guide to SwinIR: A Transformer for Image Restoration
Image restoration techniques such as image super-resolution (SR), image denoising, and JPEG compression artefact reduction strive to recreate a high-quality clean image from a low-quality degraded image.
- By Vijaysinh Lendave
The various transformer designs have become the x-factor for a variety of complicated natural language processing and computer vision applications. In contrast to vision or visuals, you may have come upon a hazy image that signifies a lot to you. Various transformer-based techniques are available to restore such images, however, nearly all do not produce the desired results. So, in this post, we'll talk about how to restore or reconstruct an image using the SwinIR transformer. The following are the main points to be discussed in this article.
Table Of Contents
What is Image Restoration?Methods for Image RestorationHow does SwinIR Restore the Images?Quick Start with SwinIR
Let’s start the discussion by understanding what is Image restoration.
What is Image Restoration?
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Vijaysinh Lendave
Vijaysinh is an enthusiast in machine learning and deep learning. He is skilled in ML algorithms, data manipulation, handling and visualization, model building.
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