There are 187 repositories under super-resolution topic.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
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.
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
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.
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.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
SwinIR: Image Restoration Using Swin Transformer (official repository)
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
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
Awesome GAN for Medical Imaging
AI magics meet Infinite draw board.
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)
QualityScaler - image/video AI upscaler app (BSRGAN)
AI无损放大工具
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
VRT: A Video Restoration Transformer (official repository)
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
Sharpen your low-resolution pictures with the power of AI upscaling
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch