Alternatives and similar repositories for dilated-dense-fusion-networks

Users that are interested in dilated-dense-fusion-networks are comparing it to the libraries listed below

• galad-loth / DualCNN-TF
  Tensorflow based Implementation of the CVPR2018 paper: Learning Dual Convolutional Neural Networks for Low-Level Vision
  ☆43Updated 6 years ago
• dong-won-jang / DRCA
  DenseNet with Deep Residual Channel-Attention Blocks for Single Image Super Resolution
  ☆32Updated 5 years ago
• shangqigao / gsq-image-SR
  Multi-scale deep neural networks for real image super-resolution
  ☆27Updated 4 years ago
• kozistr / rcan-tensorflow
  Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow
  ☆53Updated 6 years ago
• Vandermode / pytorch-MemNet
  pytorch reimplementation of basic architecture of MemNet
  ☆28Updated 6 years ago
• MKFMIKU / PFFNet
  Solution for NTIRE2018 Image Dehazing Challenge & ACCV2018 Kangfu Mei et al.
  ☆50Updated 6 years ago
• ngchc / deepBoosting
  Deep Boosting for Image Denoising in ECCV 2018 and its Real-world Extension in IEEE Transactions on Pattern Analysis and Machine Intellig…
  ☆57Updated 5 years ago
• Zheng222 / PPCN
  Tensorflow implementation of Perception-Preserving Convolutional Networks for Image Enhancement on Smartphones (ECCV 2018 Workshop PIRM)
  ☆57Updated 6 years ago
• tonghelen / JED-Method
  low-light enhancement and denoising
  ☆28Updated 6 years ago
• idearibosome / tf-perceptual-eusr
  A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality
  ☆45Updated 3 years ago
• BookerDeWitt / GFN-IJCV
  ☆29Updated 5 years ago
• qibao77 / CFSNet
  pytorch code of "CFSNet: Toward a Controllable Feature Space for Image Restoration"（ICCV2019）
  ☆62Updated 4 years ago
• Linwei-Chen / Deep-Residual-Network-for-JointDemosaicing-and-Super-Resolution
  Deep-Residual-Network-for-JointDemosaicing-and-Super-Resolution pytorch 复现工作
  ☆38Updated 6 years ago
• csdwren / sfarl
  Simultaneous Fidelity and Regularization Learning for Image Restoration (TPAMI 2019)
  ☆38Updated 5 years ago
• alterzero / DBPN-caffe
  Deep Back-Projection Networks for Super-Resolution
  ☆39Updated 6 years ago
• cswin / WIN
  Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising
  ☆32Updated 7 years ago
• SenJia / Saliency-CNN-Image-Quality-Assessment
  ☆22Updated 7 years ago
• muneebaadil / sisr-irl
  PyTorch code of our ICIP'19 paper "Improving Super-Resolution Methods via Incremental Residual Learning"
  ☆9Updated 5 years ago
• tT0NG / DWSRx4
  DWSR x4 Deep wavelet prediction for image super-resolution
  ☆39Updated 6 years ago
• lizhengwei1992 / IDN-pytorch
  paper implement : Fast and Accurate Single Image Super-Resolution via Information Distillation Network
  ☆44Updated 7 years ago
• MIVRC / SRRFN-PyTorch
  This repository is a PyTorch version of the paper "Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution" (ICCVW …
  ☆36Updated 4 years ago
• manricheon / EUSR-PCL-Tensorflow
  GAN-based image super-resolution using perceptual content losses (tensorflow implementation)
  ☆19Updated 5 years ago
• VITA-Group / USAID
  [Preprint] "Segmentation-Aware Image Denoising without Knowing True Segmentation"
  ☆36Updated 3 years ago
• TaiXiangJiang / FastDeRain
  The Matlab implementation of FastDeRain and DIP
  ☆50Updated 5 years ago
• ychfan / wdvr_ntire2019
  Wide-activated 3D Convolutional Network for Video Restoration
  ☆13Updated 5 years ago
• qiushizaino2 / Deep-Prior-Fusion-Network-for-Real-Image-Denoising
  NTIRE 2020 Real Image Denoising Challenge - ZJU231
  ☆10Updated 5 years ago
• ysyscool / SGDNet
  ACM MM 2019 SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment
  ☆77Updated last year
• psychopa4 / MMCNN
  Multi-Memory Convolutional Neural Network for Video Super-Resolution
  ☆38Updated 3 years ago
• lyatdawn / MemNet-Tensorflow
  Tensorflow implementation of MemNet(http://cvlab.cse.msu.edu/pdfs/Image_Restoration%20using_Persistent_Memory_Network.pdf).
  ☆39Updated 7 years ago
• VITA-Group / dehaze
  [Preprint] "Improved Techniques for Learning to Dehaze and Beyond: A Collective Study"
  ☆47Updated 3 years ago