Real-ESRGAN VS SwinIR

Compare Real-ESRGAN vs SwinIR and see what are their differences.

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Real-ESRGAN SwinIR
131 28
30,065 4,731
2.3% 2.6%
1.9 0.0
8 months ago 10 months ago
Python Python
BSD 3-clause "New" or "Revised" License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Real-ESRGAN

Posts with mentions or reviews of Real-ESRGAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-24.

SwinIR

Posts with mentions or reviews of SwinIR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-02.

What are some alternatives?

When comparing Real-ESRGAN and SwinIR you can also consider the following projects:

ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

waifu2x - Image Super-Resolution for Anime-Style Art

chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.

GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

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