Alternatives and similar repositories for Residual-Dense-Net-for-Super-Resolution:

Users that are interested in Residual-Dense-Net-for-Super-Resolution are comparing it to the libraries listed below

• twtygqyy / pytorch-edsr
  Pytorch implementation for EDSR (CVPR2017)
  ☆63Updated 6 years ago
• hengchuan / RDN-TensorFlow
  A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".
  ☆145Updated 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
  ☆60Updated 6 years ago
• lingtengqiu / RDN-pytorch
  Implement RDN with pytorch
  ☆51Updated 3 years ago
• lizhengwei1992 / ResidualDenseNetwork-Pytorch
  Pytorch implement: Residual Dense Network for Image Super-Resolution
  ☆141Updated 6 years ago
• galad-loth / DualCNN-TF
  Tensorflow based Implementation of the CVPR2018 paper: Learning Dual Convolutional Neural Networks for Low-Level Vision
  ☆43Updated 6 years ago
• BUPTLdy / Pytorch-LapSRN
  Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
  ☆45Updated 7 years ago
• Junshk / CinCGAN-pytorch
  Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.
  ☆143Updated 5 years ago
• kozistr / rcan-tensorflow
  Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow
  ☆53Updated 5 years ago
• yippp / FSRCNN
  Unofficial PyTorch implementation of FSRCNN (Fast Super-Resolution Convolutional Neural Network)
  ☆39Updated 5 years ago
• dong-won-jang / DRCA
  DenseNet with Deep Residual Channel-Attention Blocks for Single Image Super Resolution
  ☆32Updated 5 years ago
• BrunoVox / ScSR
  Python implementation of "Single Image Super-Resolution via Sparse Representation" for educational purposes.
  ☆37Updated 6 years ago
• TaiXiangJiang / FastDeRain
  The Matlab implementation of FastDeRain and DIP
  ☆50Updated 4 years ago
• husqin / DnCNN-keras
  ☆63Updated 6 years ago
• opteroncx / TAN
  Code for paper Triple-Attention Mixed-Link Network for Single-Image Super-Resolution
  ☆12Updated 5 years ago
• tingfengainiaini / sparseCodingSuperResolution
  ☆48Updated 10 years ago
• lizhengwei1992 / MS_SSIM_pytorch
  ms_ssim loss function implemented in pytorch
  ☆74Updated 6 years ago
• websterbei / EDSR_tensorflow
  Tensorflow implementation of EDSR model, with several different variations
  ☆11Updated 5 years ago
• diegovalsesia / gcdn
  Deep Graph-Convolutional Image Denoising
  ☆94Updated last year
• NVlabs / PL4NN
  Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.
  ☆142Updated 7 years ago
• Ding-Liu / DeepDenoising
  ☆93Updated 6 years ago
• 2wins / SRMD-pytorch
  A PyTorch Implementation of "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations"
  ☆104Updated 6 years ago
• lbasek / image-denoising-benchmark
  Benchmarking Denoising Algorithms with Real Photographs
  ☆97Updated 4 years ago
• jt827859032 / DRRN-pytorch
  Pytorch implementation of Deep Recursive Residual Network for Super Resolution (DRRN), CVPR 2017
  ☆195Updated 6 years ago
• jxgu1016 / Total_Variation_Loss.pytorch
  pytorch implementation of tv loss
  ☆104Updated 7 years ago
• clxiao / Image-Denoising-State-of-the-art
  ☆31Updated 6 years ago
• lpj0 / MWCNN
  Multi-level Wavelet-CNN for Image Restoration
  ☆234Updated 4 years ago
• xxxwuwq / SRCNN-REPRODUCTION
  The reproduction of SRCNN method for super-resolution
  ☆31Updated 5 years ago
• yulunzhang / RNAN
  PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"
  ☆342Updated 5 years ago
• MIVRC / MSRN-PyTorch
  This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).
  ☆297Updated 4 years ago