Alternatives and similar repositories for MWCNNv2

Users that are interested in MWCNNv2 are comparing it to the libraries listed below

• lpj0 / MWCNN
  Multi-level Wavelet-CNN for Image Restoration
  ☆240Updated 4 years ago
• zsyOAOA / VDNet
  Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)
  ☆218Updated 4 years ago
• psyrocloud / MS-SSIM_L1_LOSS
  Pytorch implementation of MS-SSIM L1 Loss function
  ☆106Updated last year
• scut-mingqinchen / Self2Self
  ☆147Updated 4 years ago
• zsyOAOA / DANet
  Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation (ECCV 2020) (Pytorch)
  ☆183Updated 4 years ago
• SHI-Labs / Pyramid-Attention-Networks
  [IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, co…
  ☆403Updated 5 years ago
• yjn870 / RDN-pytorch
  PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)
  ☆131Updated 4 years ago
• natezhenghy / DCDicL_denoising
  Official implementation of Deep Convolutional Dictionary Learning for Image Denoising.
  ☆142Updated 2 months ago
• PangTongyao / Recorrupted-to-Recorrupted-Unsupervised-Deep-Learning-for-Image-Denoising
  ☆63Updated 2 years ago
• hongwang01 / RCDNet
  【CVPR2020, Interpretable Network】A Model-driven Deep Neural Network for Single Image Rain Removal
  ☆185Updated 2 years ago
• chaoren88 / DeamNet
  Adaptive Consistency Prior based Deep Network for Image Denoising (CVPR 2021, Oral)
  ☆65Updated 4 years ago
• Yang-Liu1082 / InvDN
  Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).
  ☆189Updated 4 years ago
• FanChiMao / SUNet
  SUNet: Swin Transformer with UNet for Image Denoising
  ☆238Updated last year
• HarukiYqM / pytorch-ZSSR
  Pytorch implementation of "Zero Shot" Super Resolution
  ☆60Updated 4 years ago
• HarukiYqM / Non-Local-Sparse-Attention
  PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).
  ☆179Updated 3 years ago
• lpj0 / MWCNN_PyTorch
  Training Code for MWCNN in PyTorch environment
  ☆64Updated 6 years ago
• jxgu1016 / Total_Variation_Loss.pytorch
  pytorch implementation of tv loss
  ☆106Updated 7 years ago
• shaonianruntu / MWCNN
  MWCNN implementation based on Pytorch
  ☆40Updated 3 years ago
• NVlabs / PL4NN
  Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.
  ☆144Updated 8 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
• saeed-anwar / RIDNet
  Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.
  ☆357Updated 3 years ago
• TaoHuang2018 / Neighbor2Neighbor
  Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
  ☆281Updated 2 years ago
• JWSoh / MZSR
  Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
  ☆274Updated 4 years ago
• njulj / RFANet
  Residual Feature Aggregation Network for Image Super-Resolution
  ☆104Updated 4 years ago
• INVOKERer / DeepRFT
  The code for 'Intriguing Findings of Frequency Selection for Image Deblurring' and 'Deep Residual Fourier Transformation for Single Imag…
  ☆266Updated 4 months ago
• joeylitalien / noise2noise-pytorch
  PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)
  ☆327Updated 5 years ago
• JimmyChame / SADNet
  Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"
  ☆133Updated 2 years ago
• alilajevardi / Embedded-Block-Residual-Network
  EBRN is a recursive restoration model for image super-resolution
  ☆15Updated 5 years ago
• wwlCape / HAN
  PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"
  ☆177Updated 3 years ago
• dongjxjx / dwdn
  Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
  ☆58Updated 4 years ago