esrgan

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, SRMD, RealSR, Anime4K, RIFE, 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.

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

AI无损放大工具

NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

Windows only GUI for ESRGAN with additional features

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

PyTorch implementation of Real-ESRGAN model

Automatically apply AI Upscaling on Dumped Textures

A simple implementation of esrgan, which uses the pytorch framework.

Setup scripts for ESRGAN/MXNet image/video upscaling in VapourSynth

Simple realization of papers in oppo Research Institute super score competition.

Quake 2 textures upscaled using ESRGAN and the Manga109Attempt model

🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

Removing Pixelated Mosaic Censorship using ESRGAN and green_mask_project

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

A TensorFlow implementation of ESRGAN

A Real-ESRGAN model trained on a custom dataset

Simple inference codes for Neural Network (AI) models

Colabs for Neural Image Enhancement.

Fork of Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.

lots of single image super resolution model implementations in tensorflow

ESRGAN Tensorflow implementation on video files using OpenCV

A framework to perform multiple processing passes on textures in order to upscale them.