Real-ESRGAN-colab
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| Real-ESRGAN-colab | mmagic | |
|---|---|---|
| 1 | 5 | |
| 44 | 6,570 | |
| - | 2.6% | |
| 0.0 | 8.7 | |
| over 1 year ago | about 1 month ago | |
| Python | Jupyter Notebook | |
| - | Apache License 2.0 |
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Real-ESRGAN-colab
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Retrained Real-ESRGAN version used by ruDALL-E (a text-to-image AI) may be of interest
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.
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MMEditing v1.0.0rc4 has been released （including Disco-Diffusion）
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MMEditing: OpenMMLab image and video editing toolbox.
What are some alternatives?
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
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.
Real-ESRGAN - PyTorch implementation of Real-ESRGAN model
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.
cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images
NAFNet - The state-of-the-art image restoration model without nonlinear activation functions.
Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
Real-ESRGAN-Video-Batch-Process - Upscale any number of videos using this colab notebook!
contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)