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

PyTorch implementation of Real-ESRGAN model (by ai-forever)

Python Pytorch super-resolution esrgan real-world-super-resolution real-esrgan

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Real-ESRGAN-colab		Real-ESRGAN
	Project
1	Mentions	3
44	Stars	398
-	Growth	4.5%
0.0	Activity	0.0
over 1 year ago	Latest Commit	13 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 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.
"a dog in a sweater. no watermark." (4 images) generated by CogView 2. ~256x256 cropped screenshot upscaled 4x with Real-ESRGAN from ruDALL-E demo.
1 project | /r/bigsleep | 4 Nov 2021

I used this Colab for the upscaling. GitHub repo for the upscaler.
Real-ESRGAN (an upscaler) implementation used by ruDALL-E demo seems to create a lot more fine details than the other implementation of Real-ESRGAN that I used. Gallery contains upscaler comparisons for 2 input images. An implementation of SwinIR upscaler is also included.
1 project | /r/MediaSynthesis | 2 Nov 2021

Colab for Real-ESRGAN used by ruDALL-E demo. GitHub repo.

What are some alternatives?

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

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

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.

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

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

RealSR - Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)

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

onnx-web - web UI for GPU-accelerated ONNX pipelines like Stable Diffusion, even on Windows and AMD

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

realesrgan-gui - 实用、美观的 Real-ESRGAN 图形界面，同时支持 Windows、Ubuntu 和 macOS 平台。(Cross-platform GUI for image upscaler Real-ESRGAN with additional features.)