SrrescganCode repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).
Stars: ✭ 44 (-73.96%)
NatsrNatural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
Stars: ✭ 105 (-37.87%)
Scn matlabMatlab reimplementation of SCNSR
Stars: ✭ 70 (-58.58%)
SrganA PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Stars: ✭ 644 (+281.07%)
Deeply Recursive Cnn TfTest implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution
Stars: ✭ 116 (-31.36%)
Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Stars: ✭ 33 (-80.47%)
Srgan TensorflowTensorflow implementation of the SRGAN algorithm for single image super-resolution
Stars: ✭ 754 (+346.15%)
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.
Stars: ✭ 93 (-44.97%)
Torch Srgantorch implementation of srgan
Stars: ✭ 76 (-55.03%)
Ntire2017Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
Stars: ✭ 554 (+227.81%)
UpscalerjsImage Upscaling in Javascript. Increase image resolution up to 4x using Tensorflow.js.
Stars: ✭ 126 (-25.44%)
VideosuperresolutionA collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Stars: ✭ 1,118 (+561.54%)
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.
Stars: ✭ 2,708 (+1502.37%)
Jsi GanOfficial repository of JSI-GAN (Accepted at AAAI 2020).
Stars: ✭ 42 (-75.15%)
EdafaTest Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.
Stars: ✭ 107 (-36.69%)
Super Resolution cnn Implementation of 'Image Super-Resolution using Deep Convolutional Network'
Stars: ✭ 27 (-84.02%)
MmeditingOpenMMLab Image and Video Editing Toolbox
Stars: ✭ 2,618 (+1449.11%)
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.
Stars: ✭ 101 (-40.24%)
DpsrDeep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
Stars: ✭ 738 (+336.69%)
Enhancenet CodeEnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)
Stars: ✭ 142 (-15.98%)
Wdsr ntire2018Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
Stars: ✭ 570 (+237.28%)
SeranetSuper Resolution of picture images using deep learning
Stars: ✭ 79 (-53.25%)
SrflowOfficial SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
Stars: ✭ 537 (+217.75%)
IloOfficial implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Stars: ✭ 71 (-57.99%)
AdafmCVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation
Stars: ✭ 151 (-10.65%)
Esrgan Tf2ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
Stars: ✭ 61 (-63.91%)
DrlnDensely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
Stars: ✭ 120 (-28.99%)
Tensorflow EspcnTensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network
Stars: ✭ 49 (-71.01%)
Rcan TensorflowImage Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow
Stars: ✭ 43 (-74.56%)
Waifu2x ExtensionImage, GIF and Video enlarger/upscaler achieved with waifu2x and Anime4K. [NO LONGER UPDATED]
Stars: ✭ 149 (-11.83%)
Super ResolutionTensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Stars: ✭ 952 (+463.31%)
Supper ResolutionSuper-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.
Stars: ✭ 105 (-37.87%)
DncnnBeyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Stars: ✭ 912 (+439.64%)
Waifu2xPyTorch on Super Resolution
Stars: ✭ 156 (-7.69%)
ScnScale-wise Convolution for Image Restoration
Stars: ✭ 26 (-84.62%)
Idn CaffeCaffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Stars: ✭ 104 (-38.46%)
NeuralsuperresolutionReal-time video quality improvement for applications such as video-chat using Perceptual Losses
Stars: ✭ 18 (-89.35%)
KairImage Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN
Stars: ✭ 677 (+300.59%)
FrvsrFrame-Recurrent Video Super-Resolution (official repository)
Stars: ✭ 157 (-7.1%)
Dcscn Super ResolutionA 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.
Stars: ✭ 611 (+261.54%)
Super Resolution VideosApplying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.
Stars: ✭ 91 (-46.15%)
Zooming Slow Mo Cvpr 2020Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
Stars: ✭ 555 (+228.4%)
Rdn TensorflowA TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".
Stars: ✭ 136 (-19.53%)
PytoflowThe py version of toflow → https://github.com/anchen1011/toflow
Stars: ✭ 83 (-50.89%)
DpirPlug-and-Play Image Restoration with Deep Denoiser Prior (PyTorch)
Stars: ✭ 159 (-5.92%)
TenetOfficial Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution
Stars: ✭ 157 (-7.1%)
Pan[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.
Stars: ✭ 151 (-10.65%)
3puPatch-base progressive 3D Point Set Upsampling
Stars: ✭ 131 (-22.49%)
CfsrcnnCoarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)
Stars: ✭ 84 (-50.3%)