Alternatives and similar repositories for SADNet

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

• XHWXD / DBSN
  Unpaired Learning of Deep Image Denoising
  ☆144Updated 5 years ago
• terryoo / AINDNet
  Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
  ☆83Updated 5 years ago
• njulj / RFANet
  Residual Feature Aggregation Network for Image Super-Resolution
  ☆105Updated 5 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
• IDKiro / CBDNet-pytorch
  Toward Convolutional Blind Denoising of Real Photograph
  ☆184Updated last year
• JingyunLiang / MANet
  Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)
  ☆174Updated 4 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆149Updated 4 years ago
• Alan-xw / RealSR
  [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
  ☆84Updated 4 years ago
• yuanjunchai / IKC
  Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)
  ☆225Updated 5 years ago
• hongwang01 / RCDNet
  【CVPR2020, Interpretable Network】A Model-driven Deep Neural Network for Single Image Rain Removal
  ☆184Updated 3 years ago
• Yang-Liu1082 / InvDN
  Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).
  ☆191Updated 4 years ago
• perseveranceLX / ImageProcessingTransformer
  Third party Pytorch implement of Image Processing Transformer (Pre-Trained Image Processing Transformer arXiv:2012.00364v2)
  ☆68Updated 4 years ago
• csdwren / RecDerain
  Single Image Deraining Using Bilateral Recurrent Network (TIP 2020)
  ☆35Updated 5 years ago
• xiezw5 / Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution
  ☆201Updated 5 years ago
• kuijiang94 / MSPFN
  Multi-Scale Progressive Fusion Network for Single Image Deraining
  ☆167Updated 4 years ago
• nnUyi / Image-Processing-Datasets
  Image processing datasets (brightening, color enhancement, inpainting, denoising, dehazing, deblurring, and deraining)
  ☆74Updated 5 years ago
• csjunxu / Noisy-As-Clean-TIP2020
  PyTorch Code for "Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image", TIP 2020.
  ☆73Updated 4 years ago
• Dengsgithub / DRD-Net
  The code of DRD-Net. Coming soon.
  ☆57Updated 5 years ago
• ytZhang99 / CF-Net
  Official repository of "Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution"
  ☆80Updated 3 years ago
• csjunxu / Bovik_NIQE_SPL2013
  ☆42Updated 9 years ago
• wwzjer / Semi-supervised-IRR
  Semi-supervised Transfer Learning for Image Rain Removal. In CVPR 2019.
  ☆65Updated 5 years ago
• 491506870 / PRIDNet
  Code for the paper "Pyramid Real Image Denoising Network"
  ☆89Updated 5 years ago
• makedede / MEFNet
  Official Implementation of MEF-Net
  ☆96Updated 5 years ago
• lpj0 / MWCNN_PyTorch
  Training Code for MWCNN in PyTorch environment
  ☆64Updated 6 years ago
• liuzhen03 / ADNet
  Pytorch implementation of ADNet. (The winning method of the first edition of NTIRE2021 Multi-Frame HDR Challenge)
  ☆85Updated 4 years ago
• liujikun / Densely-Self-guided-Wavelet-Network-for-Image-Denoising
  A network for image denoising （A solution for NTIRE 2020）
  ☆37Updated 3 years ago
• zsyOAOA / VDNet
  Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)
  ☆218Updated 4 years ago
• aasharma90 / UnprocessDenoising_PyTorch
  Unofficial PyTorch code for the paper - Unprocessing Images for Learned Raw Denoising, CVPR'19
  ☆184Updated 4 years ago
• wwlCape / HAN
  PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"
  ☆178Updated 3 years ago
• thomas-koehler / SupER
  Super-Resolution Erlangen (SupER): Benchmarking Super-Resolution Algorithms on Real Data
  ☆82Updated 6 years ago