Alternatives and similar repositories for GANDenoising:

Users that are interested in GANDenoising are comparing it to the libraries listed below

• husqin / DnCNN-keras
  ☆64Updated 7 years ago
• lingtengqiu / RDN-pytorch
  Implement RDN with pytorch
  ☆51Updated 3 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
• TeeyoHuang / CycleGAN-pytorch
  ☆38Updated 6 years ago
• lpj0 / MWCNN
  Multi-level Wavelet-CNN for Image Restoration
  ☆237Updated 4 years ago
• lizhengwei1992 / ResidualDenseNetwork-Pytorch
  Pytorch implement: Residual Dense Network for Image Super-Resolution
  ☆142Updated 6 years ago
• hyeongyuy / CT-WGAN_VGG_tensorflow
  Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
  ☆36Updated 6 years ago
• chaoren88 / DeamNet
  Adaptive Consistency Prior based Deep Network for Image Denoising (CVPR 2021, Oral)
  ☆64Updated 3 years ago
• XHWXD / DBSN
  Unpaired Learning of Deep Image Denoising
  ☆135Updated 4 years ago
• scut-mingqinchen / Self2Self
  ☆145Updated 4 years ago
• nullhty / DRCN_Tensorflow
  Tensorflow implementation of "Deeply-Recursive Convolutional Network for Image Super-Resolution"
  ☆12Updated 5 years ago
• yjn870 / RDN-pytorch
  PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)
  ☆130Updated 3 years ago
• VeroHU / supervised_blur_kernel_estimation
  If you have the original image and the blurred image, you can use this code to estimate the blur kernel.
  ☆11Updated 6 years ago
• Xingxiangrui / cycleGAN_with_two_D
  new cycleGAN which has two discriminators: D_class and D_defect
  ☆10Updated 5 years ago
• gvfjyy / imageDenoise-UNet-VGG
  拓片图像去噪，以UNet为基本框架，编码器基于VGG16
  ☆20Updated 5 years ago
• liuhuang31 / BM3D-Denoise
  Using BM3D to denoise
  ☆225Updated last year
• zliangak / denoising-pytorch
  utilizing GAN and AutoEncoder for denoising
  ☆10Updated 5 years ago
• yjn870 / SRDenseNet-pytorch
  PyTorch implementation of Image Super-Resolution Using Dense Skip Connections (ICCV 2017)
  ☆24Updated 5 years ago
• twtygqyy / pytorch-edsr
  Pytorch implementation for EDSR (CVPR2017)
  ☆63Updated 7 years ago
• 491506870 / PRIDNet
  Code for the paper "Pyramid Real Image Denoising Network"
  ☆86Updated 5 years ago
• gongpx20069 / Machine_Learning
  This is a library of machine learning. I designed it to learn more about machine learning.
  ☆52Updated 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
• 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.
  ☆38Updated 6 years ago
• eunh / low_dose_CT
  Deep Convolutional Framelet Denoising for Low-Dose CT via Wavelet Residual Network
  ☆69Updated 6 years ago
• IDKiro / CBDNet-pytorch
  Toward Convolutional Blind Denoising of Real Photograph
  ☆179Updated last year
• manumathewthomas / ImageDenoisingGAN
  Image Denoising with Generative Adversarial Network
  ☆380Updated 7 years ago
• lpj0 / MWCNN_PyTorch
  Training Code for MWCNN in PyTorch environment
  ☆64Updated 6 years ago
• yjn870 / REDNet-pytorch
  PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS …
  ☆98Updated 6 years ago
• 2KangHo / vdsr_pytorch
  VDSR PyTorch Implementation
  ☆21Updated 6 years ago