Alternatives and similar repositories for gradient-variance-loss:

Users that are interested in gradient-variance-loss are comparing it to the libraries listed below

• IceClear / IL-NIQE
  Python implement for IL-NIQE (A Feature-Enriched Completely Blind Image Quality Evaluator).
  ☆36Updated 3 years ago
• zhoumumu / VapSR
  models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
  ☆74Updated 2 years ago
• hjSim / KOALAnet
  Official repository of KOALAnet (CVPR, 2021)
  ☆38Updated 2 years ago
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 2 years ago
• WenxueCui / Transformer_Low_Level_Vision
  Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)
  ☆53Updated 2 years ago
• AlexZou14 / SCET
  Self-Calibrated Efficient Transformer for Lightweight Super-Resolution (offical)
  ☆38Updated 2 years ago
• sunny2109 / MobileSR-NTIRE2022
  [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution
  ☆73Updated 2 years ago
• jiahong-fu / KXNet
  Implementation of 'KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution' (ECCV2022 Oral)
  ☆24Updated last year
• shuntama / srdd
  ☆30Updated 2 years ago
• ymff0592 / super-resolution
  A PyTorch implementation of 'LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block'
  ☆29Updated 2 years ago
• zeyuxiao1997 / EDPN
  ☆82Updated 3 years ago
• guanghaoyin / CMDSR
  Pytorch code for our TIP2022 paper "Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations"
  ☆23Updated 2 years ago
• lifengcs / DIN
  Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image Restoration
  ☆17Updated 4 years ago
• passerer / HPINet
  Hierarchical Pixel Integration for Lightweight Image Super-Resolution
  ☆33Updated 11 months ago
• XLearning-SCU / 2023-CVPR-CODE
  PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).
  ☆55Updated last year
• IVIPLab / FDIWN
  This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Im…
  ☆21Updated last year
• zsyOAOA / BSRDM
  Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)
  ☆96Updated 2 years ago
• zsyOAOA / VIRNet
  Official code of "Deep Variational Network Toward Blind Image Restoration".
  ☆48Updated 6 months ago
• Aitical / PCL-SISR
  [IEEE TNNLS] A Practical Contrastive Learning Framework for Single Image Super-Resolution
  ☆31Updated 11 months ago
• FlyEgle / SDWNet
  [ICCVW2021] An Straight Dilated Network with Wavelet for image Deblurring
  ☆69Updated 3 years ago
• terryoo / AINDNet
  Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
  ☆80Updated 5 years ago
• yuke93 / Path-Restore
  Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)
  ☆42Updated 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
• stella-von / LKDN
  Large Kernel Distillation Network for Efficient Single Image Super-Resolution
  ☆35Updated last year
• xindongzhang / SimpleIR
  A Simple framework for image restoration, it includes ECBSR, ELAN and other SOTAs.
  ☆48Updated 2 years ago
• njulj / AdaDM
  AdaDM: Enabling Normalization for Image Super-Resolution
  ☆60Updated 3 years ago
• ofsoundof / NTIRE2023_ESR
  ☆22Updated 2 years ago
• Joyies / SPDNet
  Structure-Preserving Deraining with Residue Channel Prior Guidance (ICCV2021)
  ☆52Updated 3 years ago
• memad73 / DualSR
  Official implementation of "DualSR: Zero-Shot Dual Learning for Real-World Super-Resolution"
  ☆26Updated 3 years ago
• JWSoh / VDIR
  Variational Deep Image Denoising
  ☆26Updated 2 years ago