Alternatives and similar repositories for deep-image-prior-tensorflow

Users that are interested in deep-image-prior-tensorflow are comparing it to the libraries listed below

• lpj0 / MWCNN
  Multi-level Wavelet-CNN for Image Restoration
  ☆244Updated 5 years ago
• XHWXD / DBSN
  Unpaired Learning of Deep Image Denoising
  ☆141Updated 5 years ago
• scut-mingqinchen / Self2Self
  ☆148Updated 4 years ago
• jxgu1016 / Total_Variation_Loss.pytorch
  pytorch implementation of tv loss
  ☆107Updated 8 years ago
• NVlabs / PL4NN
  Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.
  ☆144Updated 8 years ago
• zsyOAOA / VDNet
  Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)
  ☆218Updated 4 years ago
• clausmichele / CBSD68-dataset
  Color BSD68 dataset for image denoising benchmarks
  ☆83Updated 3 years ago
• husqin / DnCNN-keras
  ☆64Updated 7 years ago
• galad-loth / DualCNN-TF
  Tensorflow based Implementation of the CVPR2018 paper: Learning Dual Convolutional Neural Networks for Low-Level Vision
  ☆43Updated 7 years ago
• csjunxu / PolyU-Real-World-Noisy-Images-Dataset
  Real-world Noisy Image Denoising: A New Benchmark
  ☆258Updated 4 years ago
• lbasek / image-denoising-benchmark
  Benchmarking Denoising Algorithms with Real Photographs
  ☆100Updated 5 years ago
• saeed-anwar / RIDNet
  Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.
  ☆362Updated 4 years ago
• atiyo / deep_image_prior
  Image reconstruction done with untrained neural networks.
  ☆221Updated 5 years ago
• IDKiro / CBDNet-tensorflow
  Toward Convolutional Blind Denoising of Real Photograph
  ☆50Updated last year
• kozistr / rcan-tensorflow
  Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow
  ☆54Updated 6 years ago
• lizhengwei1992 / ResidualDenseNetwork-Pytorch
  Pytorch implement: Residual Dense Network for Image Super-Resolution
  ☆143Updated 7 years ago
• Junshk / CinCGAN-pytorch
  Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.
  ☆144Updated 6 years ago
• yzhouas / PD-Denoising-pytorch
  Code of 'when AWGN-based Denoiser Meets Real Noises'
  ☆166Updated 5 years ago
• csdwren / sfarl
  Simultaneous Fidelity and Regularization Learning for Image Restoration (TPAMI 2019)
  ☆38Updated 5 years ago
• csjunxu / TWSC-ECCV2018
  Matlab Code for "A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018".
  ☆92Updated 5 years ago
• chaoma99 / sr-metric
  Learning a No-Reference Quality Metric for Single-Image Super-Rolution
  ☆132Updated 3 years ago
• Wenchao-Du / LIR-for-Unsupervised-IR
  This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"
  ☆102Updated 5 years ago
• hengchuan / RDN-TensorFlow
  A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".
  ☆142Updated 6 years ago
• tT0NG / DWSRx4
  DWSR x4 Deep wavelet prediction for image super-resolution
  ☆40Updated 6 years ago
• JimmyChame / SADNet
  Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"
  ☆133Updated 3 years ago
• lpj0 / MWCNN_PyTorch
  Training Code for MWCNN in PyTorch environment
  ☆64Updated 6 years ago
• saravanabalagi / deep_image_prior
  Image Operations without training using deep image prior
  ☆20Updated 7 years ago
• twtygqyy / pytorch-edsr
  Pytorch implementation for EDSR (CVPR2017)
  ☆63Updated 7 years ago
• zsyOAOA / DANet
  Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation (ECCV 2020) (Pytorch)
  ☆182Updated 4 years ago
• yulunzhang / RNAN
  PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"
  ☆342Updated 5 years ago