Alternatives and similar repositories for DHDN

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

• SonghyunYu / DIDN
  Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".
  ☆73Updated 5 years ago
• assafshocher / BlindSR_dataset_generator
  Downscale a set of images by randomly created kernels and save them
  ☆77Updated 4 years ago
• ShuhangGu / SGN_ICCV2019
  The code for my ICCV paper: Self-Guided Network for Fast Image Denoising.
  ☆52Updated 5 years ago
• Alan-xw / RealSR
  [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
  ☆83Updated 4 years ago
• XHWXD / DBSN
  Unpaired Learning of Deep Image Denoising
  ☆141Updated 5 years ago
• goutamgmb / NTIRE21_BURSTSR
  ☆93Updated last year
• 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
• shadyabh / Correction-Filter
  ☆76Updated 4 years ago
• cindydeng1991 / Wavelet-Domain-Style-Transfer-for-an-Effective-Perception-distortion-Tradeoff-in-Single-Image-Super-
  ICCV 2019 oral presentation
  ☆44Updated 5 years ago
• zsyOAOA / VDNet
  Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)
  ☆218Updated 4 years ago
• thomas-koehler / SupER
  Super-Resolution Erlangen (SupER): Benchmarking Super-Resolution Algorithms on Real Data
  ☆81Updated 6 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆148Updated 4 years ago
• JimmyChame / SADNet
  Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"
  ☆133Updated 3 years ago
• yuanjunchai / IKC
  Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)
  ☆222Updated 5 years ago
• ustclby / Unsupervised-Domain-Specific-Deblurring
  Implementation of "Unsupervised Domain-Specific Deblurring via Disentangled Representations"
  ☆113Updated 6 years ago
• terryoo / AINDNet
  Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
  ☆83Updated 5 years ago
• Ir1d / lowLevelVision
  ☆100Updated 4 years ago
• Yang-Liu1082 / InvDN
  Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).
  ☆191Updated 4 years ago
• IVRL / Kernel-Modeling-Super-Resolution
  Official Implementation for Kernel Modeling Super-Resolution on Real Low-Resolution Images
  ☆93Updated 5 years ago
• hejingwenhejingwen / AdaFM
  CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementati…
  ☆185Updated 6 years ago
• Ding-Liu / NLRN_v0
  Code of Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)
  ☆24Updated 6 years ago
• njulj / RFANet
  Residual Feature Aggregation Network for Image Super-Resolution
  ☆105Updated 5 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
• jxgu1016 / Total_Variation_Loss.pytorch
  pytorch implementation of tv loss
  ☆107Updated 8 years ago
• lizhengwei1992 / MS_SSIM_pytorch
  ms_ssim loss function implemented in pytorch
  ☆75Updated 7 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
• liu-vis / DualResidualNetworks
  Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
  ☆154Updated 5 years ago
• wwzjer / Semi-supervised-IRR
  Semi-supervised Transfer Learning for Image Rain Removal. In CVPR 2019.
  ☆65Updated 5 years ago
• znsc / MSRResNet
  ☆52Updated 5 years ago
• AbdulMoqeet / MAFFSRN
  ☆46Updated 4 years ago