Image Super Resolution🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Msrn PytorchThis repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).
RanksrganICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
IgnnCode repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)
PaddleganPaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.
Highres NetPytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.
Deep Iterative CollaborationPytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)
IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
PsfrganPyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"
Anime4kA High-Quality Real Time Upscaler for Anime Video
WaveletsrnetA pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"
MzsrMeta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
Pytorch ZssrPyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
GpufitGPU-accelerated Levenberg-Marquardt curve fitting in CUDA
DpirPlug-and-Play Image Restoration with Deep Denoiser Prior (PyTorch)
TenetOfficial Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution
MmeditingOpenMMLab Image and Video Editing Toolbox
FrvsrFrame-Recurrent Video Super-Resolution (official repository)
Pan[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.
AdafmCVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation
BasicsrOpen 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.
Waifu2x ExtensionImage, GIF and Video enlarger/upscaler achieved with waifu2x and Anime4K. [NO LONGER UPDATED]
Enhancenet CodeEnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)
Rdn TensorflowA TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".
3puPatch-base progressive 3D Point Set Upsampling
UpscalerjsImage Upscaling in Javascript. Increase image resolution up to 4x using Tensorflow.js.
DrlnDensely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
EdafaTest Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.
Supper ResolutionSuper-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.
NatsrNatural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
Idn CaffeCaffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Vsr Duf ReimplementIt is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.
Latest Development Of Isr VsrLatest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.
Super Resolution VideosApplying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.
PytoflowThe py version of toflow → https://github.com/anchen1011/toflow
CfsrcnnCoarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)
SeranetSuper Resolution of picture images using deep learning
IloOfficial implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Esrgan Tf2ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
VideosuperresolutionA collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Tensorflow EspcnTensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network
SrrescganCode repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).