Real-ESRGAN-colab vs Real-ESRGAN

Real-ESRGAN-colab

A Real-ESRGAN model trained on a custom dataset (by boomb0om)

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Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration. (by xinntao)

esrgan Pytorch real-esrgan super-resolution image-restoration denoise jpeg-compression amine

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Real-ESRGAN-colab		Real-ESRGAN
	Project
1	Mentions	131
44	Stars	25,999
-	Growth	-
0.0	Activity	0.0
over 1 year ago	Latest Commit	15 days ago
Python	Language	Python
-	License	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.

Real-ESRGAN-colab

Posts with mentions or reviews of Real-ESRGAN-colab. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-07.

Retrained Real-ESRGAN version used by ruDALL-E (a text-to-image AI) may be of interest
2 projects | /r/GameUpscale | 7 Nov 2021

I noticed that the 256x256 -> 1024x1024 upscalings used by the ruDALL-E (text-to-image AI) demo site looked more detailed than other upscalers I've used. It apparently uses a retrained Real-ESRGAN. Here is a comparison I did of 2 synthetic images upscaled with this and 2 other upscalers. The GitHub repos are here and here. A web app version is here.

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.

AI-Powered Nvidia RTX Video HDR Transforms Standard Video into HDR Video
3 projects | news.ycombinator.com | 24 Jan 2024

It's not exactly what you're after, as it's anime specific and you need to process the video yourself (eg disassemble to frames, run the upscaler, then assemble back to a movie file), but Real-ESRGAN is really good:
https://github.com/xinntao/Real-ESRGAN/
It's pretty brilliant for cleaning up very old, low resolution anime.
Photorealistic Video Generation with Diffusion Models
3 projects | news.ycombinator.com | 11 Dec 2023

Just a note you can run upscaling on your home desktop with Real-ESRGAN:
https://github.com/xinntao/Real-ESRGAN
What software to use for upscaling anime edits
2 projects | /r/animepiracy | 5 Dec 2023
What neural net for SISR?
2 projects | /r/learnmachinelearning | 2 Aug 2023

Maybe Real-ESRGAN is a good fit? Even tho it's a couple of years old
Cant make concurrent calls to Model
1 project | /r/MLQuestions | 12 Jul 2023
Outis my beloved
1 project | /r/limbuscompany | 11 Jul 2023

I'm glad you noticed! I upscaled the icon from the wiki using Real-ESRGAN's 4xplus anime model, then photoshopped out the text. Worked far better than waifu2x.
ComicMerge (Beta testing version - SafeTensors)
1 project | /r/StableDiffusion | 10 Jul 2023

A: Try using High-res Fix and R-ESRGAN 4x+ Anime6B as upscaler
Is there any way to upscale local files permanently using Nvidia's RT VSR?
2 projects | /r/nvidia | 4 Jul 2023

Maybe try this one https://github.com/xinntao/Real-ESRGAN it may work even better.
YOASOBI Idol [3840 x 2160]
1 project | /r/wallpaper | 18 Jun 2023

Screenshotted from the official music video, upscaled to 4k using a state of the art ML model.
Compilation of (almost) all end of chapter panels
1 project | /r/OyasumiPunpun | 30 May 2023

Do you happen to remember which chapter has that "scene"? You could also try to enhance it yourself, I did it using Real-ESRGAN, which is really easy to use.

What are some alternatives?

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

BasicSR - Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

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

Real-ESRGAN - PyTorch implementation of Real-ESRGAN model

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

traiNNer - traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

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

NAFNet - The state-of-the-art image restoration model without nonlinear activation functions.

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

Real-ESRGAN-Video-Batch-Process - Upscale any number of videos using this colab notebook!

waifu2x - Image Super-Resolution for Anime-Style Art

Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

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