Image Super-Resolution for Anime-Style Art

A High-Quality Real Time Upscaler for Anime Video

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Image, GIF and Video enlarger/upscaler(super-resolution) achieved with Waifu2x, SRMD, RealSR, Anime4K and ACNet.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.

OpenMMLab Image and Video Editing Toolbox

Awesome GAN for Medical Imaging

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

Trainable models and NN optimization tools

Benchmark and resources for single super-resolution algorithms

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

AI for GNU Image Manipulation Program

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

A Python implementation of RAISR

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

Official SRFlow Code

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin]