Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
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Updated
Mar 21, 2023 - Python
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in 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.
AI无损放大工具
Curated list of awesome resources for the Stable Diffusion AI Model.
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
Lovely Real-ESRGAN / Real-CUGAN GUI Wrapper
traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network
PyTorch implementation of Real-ESRGAN model
VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)
Windows only GUI for ESRGAN with additional features
A curated list of awesome Diffusion notebooks, tools, software, tutorials and resources.
ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
AI Video Processing/Upscaling With VapourSynth in Google Colab
A simple implementation of esrgan, which uses the pytorch framework.
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