Alternatives and similar repositories for DIDN

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

• BumjunPark / DHDN
  PyTorch Implementation of "Densely Connected Hierarchical Network for Image Denoising", CVPRW, NTIRE2019
  ☆64Updated 6 years ago
• assafshocher / BlindSR_dataset_generator
  Downscale a set of images by randomly created kernels and save them
  ☆77Updated 4 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆147Updated 3 years ago
• goutamgmb / NTIRE21_BURSTSR
  ☆90Updated last year
• majedelhelou / SFM
  (ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
  ☆152Updated 3 years ago
• thomas-koehler / SupER
  Super-Resolution Erlangen (SupER): Benchmarking Super-Resolution Algorithms on Real Data
  ☆80Updated 5 years ago
• BorealisAI / noise_flow
  Noise Flow: Noise Modeling with Conditional Normalizing Flows
  ☆154Updated 4 years ago
• XHWXD / DBSN
  Unpaired Learning of Deep Image Denoising
  ☆139Updated 4 years ago
• ShuhangGu / SGN_ICCV2019
  The code for my ICCV paper: Self-Guided Network for Fast Image Denoising.
  ☆52Updated 5 years ago
• shadyabh / Correction-Filter
  ☆76Updated 4 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
• manuelfritsche / real-world-sr
  [ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This co…
  ☆166Updated 5 years ago
• cig-skoltech / deep_demosaick
  Iterative Residual Network for Deep Joint Image Demosaicking and Denoising
  ☆98Updated 6 years ago
• z-bingo / kernel-prediction-networks-PyTorch
  Reimplement of 'Burst Denoising with Kernel Prediction Networks' and 'Multi-Kernel Prediction Networks for Denoising of Image Burst' by u…
  ☆179Updated 3 years ago
• JimmyChame / SADNet
  Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"
  ☆133Updated 3 years ago
• zsyOAOA / VDNet
  Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)
  ☆218Updated 4 years ago
• AbdoKamel / sidd-ground-truth-image-estimation
  Ground truth image estimation used for the Smartphone Image Denoising Dataset (SIDD)
  ☆88Updated 5 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
• IVRL / Kernel-Modeling-Super-Resolution
  Official Implementation for Kernel Modeling Super-Resolution on Real Low-Resolution Images
  ☆93Updated 5 years ago
• yzhouas / PD-Denoising-pytorch
  Code of 'when AWGN-based Denoiser Meets Real Noises'
  ☆166Updated 4 years ago
• yuanjunchai / IKC
  Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)
  ☆220Updated 5 years ago
• HyeongseokSon1 / SRFeat
  GAN based super-resolution (presented at ECCV 2018)
  ☆68Updated 4 years ago
• terryoo / AINDNet
  Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
  ☆81Updated 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"
  ☆101Updated 5 years ago
• htzheng / ECCV2018_CrossNet_RefSR
  ☆96Updated 3 years ago
• sefibk / KernelGAN
  ☆350Updated 3 years ago
• jxgu1016 / Total_Variation_Loss.pytorch
  pytorch implementation of tv loss
  ☆106Updated 8 years ago
• cao-cong / RViDeNet
  Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes. CVPR 2020
  ☆215Updated last year
• Ir1d / lowLevelVision
  ☆99Updated 4 years ago