Alternatives and similar repositories for CFSRCNN:

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

• hellloxiaotian / ECNDNet
  Enhanced CNN for image denoising (CAAI Transactions on Intelligence Technology, 2019)
  ☆57Updated 2 years ago
• hellloxiaotian / ACNet
  Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)
  ☆80Updated 2 years ago
• hellloxiaotian / Deep-Learning-on-Image-Denoising-An-overview
  Deep Learning on Image Denoising: An overview (Neural Networks, 2020)
  ☆86Updated 2 years ago
• hellloxiaotian / BRDNet
  Image denoising using deep CNN with batch renormalization(Neural Networks,2020)
  ☆188Updated 2 years ago
• hellloxiaotian / DudeNet
  Designing and Training of A Dual CNN for Image Denoising (Knowledge-based Systems, 2021)
  ☆47Updated 2 years ago
• hellloxiaotian / hellloxiaotian.github.io
  ☆10Updated 2 weeks ago
• hellloxiaotian / lda
  ☆11Updated 7 years ago
• hellloxiaotian / LESRCNN
  Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)
  ☆223Updated 2 years ago
• hellloxiaotian / ADNet
  Attention-guided CNN for image denoising(Neural Networks,2020)
  ☆119Updated 2 years ago
• hellloxiaotian / CDNet
  ☆11Updated 4 years ago
• hellloxiaotian / Generative-Adversarial-Networks-for-Image-Super-resolution-A-Survey
  Generative Adversarial Networks for Image Super-Resolution: A Survey
  ☆16Updated 2 years ago
• hellloxiaotian / GradAug
  [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
  ☆5Updated 4 years ago
• njulj / RFANet
  Residual Feature Aggregation Network for Image Super-Resolution
  ☆103Updated 4 years ago
• hellloxiaotian / HGSRCNN
  A heterogenous group CNN for image super-resolution (IEEE TNNLS, 2022)
  ☆28Updated 2 years ago
• Alan-xw / RealSR
  [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
  ☆82Updated 3 years ago
• hellloxiaotian / TTSR
  [CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution
  ☆4Updated 4 years ago
• hellloxiaotian / ESRGCNN
  Image Super-resolution with An Enhanced Group Convolutional Neural Network (Neural Networks, 2022)
  ☆62Updated 2 years ago
• IVRL / Kernel-Modeling-Super-Resolution
  Official Implementation for Kernel Modeling Super-Resolution on Real Low-Resolution Images
  ☆93Updated 5 years ago
• yuanjunchai / IKC
  Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)
  ☆219Updated 5 years ago
• JimmyChame / SADNet
  Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"
  ☆130Updated 2 years ago
• shadyabh / Correction-Filter
  ☆76Updated 3 years ago
• NJU-Jet / SR_Framework
  A generic framework which implements some famouts super-resolution models
  ☆66Updated 3 years ago
• MIVRC / SeaNet-PyTorch
  This repository is a PyTorch version of "Soft-edge Assisted Network for Single Image Super-Resolution". (IEEE TIP 2020)
  ☆27Updated 4 years ago
• psychopa4 / MMCNN
  Multi-Memory Convolutional Neural Network for Video Super-Resolution
  ☆37Updated 3 years ago
• XHWXD / DBSN
  Unpaired Learning of Deep Image Denoising
  ☆135Updated 4 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆148Updated 3 years ago
• HolmesShuan / EDSR-ssim
  Different SSIM metrics in CNN-based super resolution algorithms (e.g., EDSR CVPRW2017, RDN CVPR2018, MSRN ECCV2018).
  ☆39Updated 2 years ago
• 2wins / SRMD-pytorch
  A PyTorch Implementation of "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations"
  ☆104Updated 6 years ago
• assafshocher / BlindSR_dataset_generator
  Downscale a set of images by randomly created kernels and save them
  ☆76Updated 3 years ago
• terryoo / AINDNet
  Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
  ☆80Updated 5 years ago