sewar VS swin2sr

Compare sewar vs swin2sr and see what are their differences.

sewar

All image quality metrics you need in one package. (by andrewekhalel)
Image processing quality-metrics super-resolution
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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)
Compression compression-artifact-reduction Computer Vision deblocking denoising eccv2022 image-denoising Image processing image-restoration image-sr image-super-resolution Jpeg low-level-vision ntire super-resolution Transformer Deep Learning vision-transformer swinir swin2sr
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sewar swin2sr
1 2
570 534
- -
5.9 2.6
8 months ago 11 months ago
Python Python
MIT 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.

sewar

Posts with mentions or reviews of sewar. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing sewar and swin2sr you can also consider the following projects:

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

SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)

super-image - Image super resolution models for PyTorch.

maxim - [CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

ilo - [ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

FSRCNN-pytorch - PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)

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

stable-diffusion-webui - Stable Diffusion web UI

parseq - Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)

sewar vs image-super-resolution swin2sr vs SwinIR swin2sr vs super-image swin2sr vs maxim swin2sr vs image-super-resolution swin2sr vs ilo swin2sr vs FSRCNN-pytorch swin2sr vs maxim-pytorch swin2sr vs stable-diffusion-webui swin2sr vs parseq