superresolution

There are 3 repositories under superresolution topic.

• leftthomas / ESPCN

  A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

  cnnpytorchsuperresolution
  Language:Python 497

• imxieyi / waifu2x-mac

  Waifu2x-ios port to macOS, still in Core ML and Metal

  coremlmachine-learningmacosmetalsuperresolutionswiftwaifu2x
  Language:Swift 437

• yiyang7 / Super_Resolution_with_CNNs_and_GANs

  Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

  cgancomputer-visiondrrnpythonpytorchsrcnnsrgansrresnetsuper-resolutionsuperresolution
  Language:Jupyter Notebook 264

• opteroncx / MoePhoto

  MoePhoto Image Toolbox萌图工具箱

  waifu2xmoephoto-image-toolboxmoephotosuperresolution
  Language:Python 187

• Coloquinte / torchSR

  Super Resolution datasets and models in Pytorch

  torchvisionpytorchdatasetssuperresolutionedsrrdnrcanvdsr
  Language:Python 161

• sanghyun-son / bicubic_pytorch

  A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.

  imageprocessingpytorchsuperresolution
  Language:Python 131

• sensifai / Mobile_Image-Video_Enhancement

  Sensifai image and video enhancement module on mobiles

  image-enhancementsuperresolutiondeep-learningimage-qualitycomputer-visionimage-processingtflitemobile-app
  Language:Java 59

• wgcban / DIP-HyperKite

  [IEEE TGRS] DIP-HyperKite: Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction

  deep-image-priorhyperspectral-image-analysispansharpeningsatteliteimagesuperresolution
  Language:Python 53

• Hi-king / superresolution_gan

  Chainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

  superresolutionchainergan
  Language:Python 49

• kweisamx / TensorFlow-SR-DenseNet

  Tensorflow with Image Super-Resolution Using Dense Skip Connections , color

  convolutional-neural-networksdeep-neural-networkssuperresolutiontensorflow
  Language:Python 36

• kostyaev / ICNR

  Convolution NN resize initialization for subpixel convolutions

  initializersubpixelsuperresolutiontensorflow
  Language:Jupyter Notebook 34

• dongheehand / RCAN-tf

  TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

  cnndeep-learningimage-restorationsuper-resolutionsuperresolutiontensorflow
  Language:Python 27

• cla7aye15I4nd / waifu4x

  2019 PPCA course project - Anime Super-Resolution

  gansuperresolution
  Language:Python 25

• MingtaoGuo / Residual-Dense-Network-Trained-with-cGAN-for-Super-Resolution

  This repository is as a research project in the field of super resolution. It uses RDN as the generator and spectral norm is used in discriminator.

  superresolutionrdncgantensorflow
  Language:Python 25

• MingtaoGuo / SRGAN-with-WGAN-Loss-TensorFlow

  SRGAN (super resolution generative adversarial networks) with WGAN loss function in TensorFlow

  srgantensorflowgansuperresolution
  Language:Python 25
• pytorch-gans

  aniketmaurya / pytorch-gans

  PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

  cyclegandcgangan-modelsgansgenerative-adversarial-networkpix2pixpytorchpytorch-implementationsuper-resolutionsuperresolution
  Language:Jupyter Notebook 20

• rajatdv / SuperResolution-with-Perceptual-loss

  In this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.

  superresolutioncnnvgg16kerastensorflowpythonperceptuallosspsnrssim
  Language:Jupyter Notebook 19

• jangsoopark / IDN-TensorFlow

  TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

  tensorflowsuperresolutiondeeplearningsingle-image-super-resolutioncvpr2018information-distillation-networkidninformationdistillationnetworkpython
  Language:Python 16

• BenjaminJonghyun / EIPNet

  Edge and Identity Preserving Network for Face Super-Resolution (EIPNet, Neurocomputing2021)

  face-hallucinationface-super-resolutionsuper-resolutionsuperresolution
  Language:Python 13

• BobLiu20 / SuperResolution_Caffe

  Implementate super resolution in deep learning

  srcnnvdsrsuperresolutionlibdmtx
  Language:Python 13

• rajatkb / DBPN-Deep_Back_Projection_Network-Keras

  Implementation of paper Deep Back Projection Network paper

  superresolutiondeep-learningbackprojectionsuper-resolution
  Language:Python 10

• kumar-shridhar / PyTorch-Super-Resolution

  Super Resolution of low resolution Images in PyTorch

  superresolutionpytorchcnntextcomputer-visionhighresolution
  Language:Python 9

• MP-TermProject / HwajilGuji

  2020-1학기 모바일프로그래밍 TermProject

  superresolutionpythonandroiddeep-learningpytorch
  Language:Java 6

• Tangjian2344 / Image-Super-Resolution

  图像超分辨率论文集锦/A paper list of Image Super-Resolution.

  image-super-resolutionsuperresolutionimagesuperresolution
  6

• y0umu / ResCSNet

  Code for ResCSNet

  compressed-sensingcompressive-sensingconvolutional-neural-networkdeep-learningdeep-neural-networksimageimage-restorationsuperresolutionwaveletwavelet-decomposition
  Language:Jupyter Notebook 6

• AsianZeus / Image-Enhancement-and-Super-Resolution

  Image Enhancement, Contrast, Illumination, Saturation Adjustment and Noise Reduction and Upscaling with GANs.

  enhancementimageenhancementrestorationsuperresolution
  Language:Python 5

• bencardoen / smlmvis

  Superresolution visualization of 3D protein localization data from a range of microscopes

  microscopysmlmsuperresolutionvisualization-toolsvtk
  Language:Jupyter Notebook 5

• jangsoopark / VDSR-TensorFlow

  TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Network" (CVPR 2016)

  tensorflowsuper-resolutionsuperresolutiondeep-learningdeeplearningconvolutional-neural-networkscnnvdsrvdsr-algorithmcvprcvpr2016cvpr16pythonmachine-learningmachine-learning-algorithmsimage-processingimage-reconstructionimage-enhancementcomputer-visionsingle-image-super-resolution
  Language:Python 5

• ryujaehun / EDSR-Mobile

  EDSR with depthwise separable convolution

  superresolutionpytorchedsrmobileentdepthwiseseparableconvolution
  Language:Python 5

• wuwusky / SuperResolution

  阿里巴巴优酷视频增强和超分辨率挑战赛

  pytorchsuperresolution
  Language:Python 5

• Atumyugi / SuperResolution

  超分辨率SuperResolution

  superresolution
  Language:Jupyter Notebook 3

• basiralab / BGSR-PY

  Brain Graph Super-Resolution: how to generate high-resolution graphs from low-resolution graphs? (Python3 version)

  machine-learning-algorithmsgraph-superresolutionsuperresolutionbrain-connectivitynetwork-neuroscienceconnectional-brain-templatecbtpredictive-learninggenerative-learning
  Language:Python 3

• dendisuhubdy / super_resolution

  Pytorch Super Resolution

  superresolutionsupervised-learningjoshua-occasio
  Language:Python 3

• irasin / SuperResolution-Chainer

  Super Resolution by Chainer

  chainersrsuperresolutionpythongandeep-convolutional-networksdensenet
  Language:Python 3

• RomainTHD / SuperResolution_CNN

  Super resolution using a CNN, based on the work of the DGtal team

  cnnsuperresolutionupscalingpythonpytorchsuper-resolution
  Language:Python 3

• RxinnotRstar / waifu2x-ncnn-vulkan-GUI

  Windows exe backup of a superresolution software (support Realcugan,Real-esrgan,Waifu2x)

  superresolution
  2