Srgan TensorflowTensorflow implementation of the SRGAN algorithm for single image super-resolution
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Ntire2017Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
Stars: ✭ 554 (+287.41%)
Scn matlabMatlab reimplementation of SCNSR
Stars: ✭ 70 (-51.05%)
Fast SrganA Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Stars: ✭ 417 (+191.61%)
CfsrcnnCoarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)
Stars: ✭ 84 (-41.26%)
SrganA PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Stars: ✭ 644 (+350.35%)
NatsrNatural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
Stars: ✭ 105 (-26.57%)
RaisrA Python implementation of RAISR
Stars: ✭ 480 (+235.66%)
SrrescganCode repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).
Stars: ✭ 44 (-69.23%)
Super Resolution cnn Implementation of 'Image Super-Resolution using Deep Convolutional Network'
Stars: ✭ 27 (-81.12%)
RealsrReal-World Super-Resolution via Kernel Estimation and Noise Injection
Stars: ✭ 367 (+156.64%)
EdafaTest Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.
Stars: ✭ 107 (-25.17%)
DpsrDeep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
Stars: ✭ 738 (+416.08%)
Torch Srgantorch implementation of srgan
Stars: ✭ 76 (-46.85%)
Wdsr ntire2018Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
Stars: ✭ 570 (+298.6%)
UpscalerjsImage Upscaling in Javascript. Increase image resolution up to 4x using Tensorflow.js.
Stars: ✭ 126 (-11.89%)
UsrnetDeep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
Stars: ✭ 493 (+244.76%)
VideosuperresolutionA collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Stars: ✭ 1,118 (+681.82%)
Dbpn PytorchThe project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
Stars: ✭ 459 (+220.98%)
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 (-29.37%)
Waifu2x Extension GuiVideo, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.
Stars: ✭ 5,463 (+3720.28%)
Jsi GanOfficial repository of JSI-GAN (Accepted at AAAI 2020).
Stars: ✭ 42 (-70.63%)
Super ResolutionTensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Stars: ✭ 952 (+565.73%)
SrmdLearning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)
Stars: ✭ 333 (+132.87%)
Super Resolution VideosApplying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.
Stars: ✭ 91 (-36.36%)
DncnnBeyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Stars: ✭ 912 (+537.76%)
ScnScale-wise Convolution for Image Restoration
Stars: ✭ 26 (-81.82%)
PytoflowThe py version of toflow → https://github.com/anchen1011/toflow
Stars: ✭ 83 (-41.96%)
NeuralsuperresolutionReal-time video quality improvement for applications such as video-chat using Perceptual Losses
Stars: ✭ 18 (-87.41%)
SeranetSuper Resolution of picture images using deep learning
Stars: ✭ 79 (-44.76%)
KairImage Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN
Stars: ✭ 677 (+373.43%)
Supper ResolutionSuper-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.
Stars: ✭ 105 (-26.57%)
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 (+327.27%)
IloOfficial implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Stars: ✭ 71 (-50.35%)
Zooming Slow Mo Cvpr 2020Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
Stars: ✭ 555 (+288.11%)
Rdn TensorflowA TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".
Stars: ✭ 136 (-4.9%)
SrflowOfficial SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
Stars: ✭ 537 (+275.52%)
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 (-57.34%)
Srcnn TensorflowImage Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
Stars: ✭ 489 (+241.96%)
Idn CaffeCaffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Stars: ✭ 104 (-27.27%)
LiifLearning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
Stars: ✭ 458 (+220.28%)
Tensorflow EspcnTensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network
Stars: ✭ 49 (-65.73%)
Waifu2xImage Super-Resolution for Anime-Style Art
Stars: ✭ 22,741 (+15802.8%)
DrlnDensely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
Stars: ✭ 120 (-16.08%)
RdnTorch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)
Stars: ✭ 412 (+188.11%)
Rcan TensorflowImage Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow
Stars: ✭ 43 (-69.93%)
Pixel Recursive Super ResolutionTensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
Stars: ✭ 374 (+161.54%)
Enhancenet CodeEnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)
Stars: ✭ 142 (-0.7%)
3puPatch-base progressive 3D Point Set Upsampling
Stars: ✭ 131 (-8.39%)
Deeply Recursive Cnn TfTest implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution
Stars: ✭ 116 (-18.88%)
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 (-34.97%)
Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Stars: ✭ 33 (-76.92%)