Top 12 Python super-resolution Projects
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.Project mention: Make AI paint any photo - Paint Transformer: Feed Forward Neural Painting with Stroke Prediction by Songhua Liu et al. explained in 5 minutes | reddit.com/r/artificial | 2021-08-25
A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.Project mention: LeBron jumps insanely high to catch an oop | reddit.com/r/nba | 2021-08-30
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.Project mention: I need help running this github application | reddit.com/r/github | 2021-09-25
I'm a beginner and I don't really understand how to make this repository and the scripts stored in it function the way it's designed to. The rep in question is ISR and I want to upscale images. Say my target is an image, 'img1.jpg', on my desktop, how would I go about using ISR to upscale it? I'm on macos big sur if that helps.
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.Project mention: Training ESRGAN: Seemingly impossible | dev.to | 2021-09-13
Recently I’ve been playing around with AI-assisted image upscaling with ESRGAN and Real-ESRGAN, and I made the grave mistake to act on my desire to train it on my own dataset. I’ve written some Python in the past, but this is from the perspective of someone's first venture into ML.
OpenMMLab Image and Video Editing Toolbox
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, etc. Also support StyleGAN2, DFDNet.Project mention: Training ESRGAN: Seemingly impossible | dev.to | 2021-09-13
So, I was using a pretty high-end machine with an AMD RX 6900 XT GPU, ready to do some GPU accelerated computing. I had booted into Windows 10. I followed a guide for training on my own dataset. PyTorch was the name of the framework that served as the foundation for [BasicSR[(https://github.com/xinntao/BasicSR), which in turn provided the tools I needed.
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Run Linux Software Faster and Safer than Linux with Unikernels.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-ResolutionProject mention: What subjects in Python do you need to know to tackle Artificial Intelligence? | reddit.com/r/ArtificialInteligence | 2021-04-13
Image upscaling might be a good goal to work towards first, and there are probably lots of good tutorials on it. You can follow a tutorial and Google anything from the tutorial that you don't understand. Here's one I found that looks helpful at first glance, and it includes working code: https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Super-Resolution
Unoffical implementation about Image Super-Resolution via Iterative Refinement by PytorchProject mention: Google’s New AI Photo Upscaling Tech Is Jaw-Dropping | news.ycombinator.com | 2021-09-01
Here's an unofficial copy of the code: https://github.com/Janspiry/Image-Super-Resolution-via-Itera...
traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.Project mention: Anime ESRGAN superresolution upscaler, trained by JoeyBallentine | reddit.com/r/AnimeResearch | 2021-05-28
Models like NMKD's mentioned 4x_NMKD-YandereNeoXL_200k were trained using this repo: https://github.com/victorca25/BasicSR , which is constantly being updated with new techniques and options.
[ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative ModelsProject mention: ResNet says Bullfrog | reddit.com/r/NFT | 2021-03-28
Github of the original research used: https://github.com/giannisdaras/ilo
TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.Project mention: Inspired by the upscaled art of Kara no Kyoukai post, I upscaled Hisui | reddit.com/r/typemoon | 2021-08-09
Model used: EDSR_x4 (https://github.com/Saafke/EDSR_Tensorflow/tree/master/models)
What are some of the best open-source super-resolution projects in Python? This list will help you:
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