There are 133 repositories under super-resolution topic.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
A High-Quality Real Time Upscaler for Anime Video
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.
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
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.
MMEditing is a low-level vision toolbox based on PyTorch, supporting super-resolution, inpainting, matting, video interpolation, etc.
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Awesome GAN for Medical Imaging
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
SwinIR: Image Restoration Using Swin Transformer (official repository)
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Trainable models and NN optimization tools
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
Benchmark and resources for single super-resolution algorithms
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
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.
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
Real-World Super-Resolution via Kernel Estimation and Noise Injection
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3