RethinkVSRAlignment VS SwinIR

Compare RethinkVSRAlignment vs SwinIR and see what are their differences.

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RethinkVSRAlignment SwinIR
1 28
96 4,102
- -
10.0 0.0
over 1 year ago about 1 month ago
Python Python
- 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.

RethinkVSRAlignment

Posts with mentions or reviews of RethinkVSRAlignment. We have used some of these posts to build our list of alternatives and similar projects.
  • Help! Can someone help me unblur this license plate?
    1 project | /r/computervision | 11 Feb 2023
    The best situation is if you have a video or sequence of images. Video based models can utilize little shifts between frames to produce high fidelity results. In that case you can try PSRT model which showed the best restoration results in my experiments.

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 RethinkVSRAlignment and SwinIR you can also consider the following projects:

VRT - VRT: A Video Restoration Transformer (official repository)

Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

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

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

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

EasyCV - An all-in-one toolkit for computer vision

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

mmdetection - OpenMMLab Detection Toolbox and Benchmark

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.

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