Alternatives and similar repositories for Super-Resolution_CNN

Users that are interested in Super-Resolution_CNN are comparing it to the libraries listed below

• YeongHyeon / Super-Resolution_CNN-PyTorch
  Implementation of 'Image Super-Resolution using Deep Convolutional Network'
  ☆27Updated 5 years ago
• nnUyi / SRGAN
  An implement of SRGAN(Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) for tensorflow version
  ☆51Updated 7 years ago
• jinsuyoo / srcnn
  TensorFlow implementation of SRCNN
  ☆14Updated 2 years ago
• kozistr / Awesome-Super-Resolution
  lots of single image super resolution model implementations in tensorflow
  ☆9Updated 5 years ago
• alohaleonardo / Super_Resolution_with_CNNs_and_GANs
  Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
  ☆276Updated 6 years ago
• dongheehand / SRGAN-PyTorch
  SRGAN (Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) implementation using PyTorch framework
  ☆47Updated 3 years ago
• MaokeAI / SRCNN-keras
  ☆96Updated 8 years ago
• rootpine / Bicubic-interpolation
  Bicubic interpolation for images (Python)
  ☆141Updated 5 years ago
• kawaiibilli / pytorch_srcnn
  pytorch implementation of Super Resolution CNN as discussed in http://personal.ie.cuhk.edu.hk/~ccloy/files/eccv_2014_deepresolution.pdf
  ☆58Updated 7 years ago
• BUPTLdy / Pytorch-LapSRN
  Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
  ☆45Updated 7 years ago
• deepak112 / Keras-SRGAN
  Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
  ☆278Updated 6 years ago
• dongheehand / DeblurGAN-tf
  Tensorflow implementation of DeblurGAN(Blind Motion Deblurring Using Conditional Adversarial Networks)
  ☆86Updated 5 years ago
• Edwardlzy / SRCNN
  Tensorflow implementation of single image super-resolution using a Convolutional Neural Network
  ☆50Updated 7 years ago
• lizhengwei1992 / ResidualDenseNetwork-Pytorch
  Pytorch implement: Residual Dense Network for Image Super-Resolution
  ☆143Updated 7 years ago
• wbhu / DnCNN-tensorflow
  A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
  ☆367Updated 6 years ago
• aitorzip / PyTorch-SRGAN
  A modern PyTorch implementation of SRGAN
  ☆364Updated 7 years ago
• twtygqyy / pytorch-vdsr
  VDSR (CVPR2016) pytorch implementation
  ☆436Updated 3 years ago
• bguisard / SuperResolution
  Pytorch implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution
  ☆30Updated 8 years ago
• twtygqyy / pytorch-edsr
  Pytorch implementation for EDSR (CVPR2017)
  ☆63Updated 7 years ago
• lpj0 / MWCNN
  Multi-level Wavelet-CNN for Image Restoration
  ☆239Updated 4 years ago
• imatge-upc / 3D-GAN-superresolution
  3D super-resolution using Generative Adversarial Networks
  ☆168Updated 6 years ago
• manumathewthomas / ImageDenoisingGAN
  Image Denoising with Generative Adversarial Network
  ☆380Updated 8 years ago
• tegg89 / SRCNN-Tensorflow
  Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
  ☆605Updated last year
• hengchuan / RDN-TensorFlow
  A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".
  ☆144Updated 5 years ago
• yulunzhang / RDN
  Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)
  ☆558Updated 2 years ago
• tadax / srgan
  SRGAN implemetation with TensorFlow
  ☆83Updated 7 years ago
• husqin / DnCNN-keras
  ☆64Updated 7 years ago
• wonbeomjang / ESRGAN-pytorch
  re-implementation super resolution pytorch using ESRGAN
  ☆101Updated 4 years ago
• kozistr / rcan-tensorflow
  Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow
  ☆53Updated 6 years ago
• jiny2001 / deeply-recursive-cnn-tf
  Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution
  ☆127Updated 7 years ago