SwinIR VS Real-ESRGAN

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

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SwinIR Real-ESRGAN
27 131
4,082 26,111
- -
0.0 2.7
25 days ago 17 days ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" License
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.

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 2023-03-17.

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.

What are some alternatives?

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

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

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.

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

Ne2Ne-Image-Denoising - Deep Unsupervised Image Denoising, based on Neighbour2Neighbour training

BSRGAN - Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

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.

waifu2x - Image Super-Resolution for Anime-Style Art

MPRNet - [CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset

LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.

a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution