swin2sr
[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr (by mv-lab)
maxim-pytorch
[CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim (by vztu)
| swin2sr | maxim-pytorch | |
|---|---|---|
| 2 | 1 | |
| 645 | 175 | |
| 0.3% | 0.0% | |
| 0.0 | 1.6 | |
| about 1 year ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | 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.
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.
swin2sr
Posts with mentions or reviews of swin2sr.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-22.
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Braided Beauty in a Pretty City
Upscaling model can be found here, and instructions for use in Automatic1111 WebUI can be found here.
- The DEFINITIVE Comparison to Upscalers
maxim-pytorch
Posts with mentions or reviews of maxim-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects.
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Need help to reduce vision transformer patch artifacts
Hi there, i'm trying to do image enhancement task. Basically you give it some image and it makes it more colorful, vibrant, changes up some exposure and other things. I'm implementing it with Google Maxim architecture in pytorch. Unfortunately they dont include training code (original one is in JAX) and pyotorch only has the network, not training code.
What are some alternatives?
When comparing swin2sr and maxim-pytorch you can also consider the following projects:
maxim - [CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
Restormer - [CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
ilo - [ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
GIMP-ML - AI for GNU Image Manipulation Program
FSRCNN-pytorch - PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)