Alternatives and similar repositories for TSAN

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

• hjSim / KOALAnet
  Official repository of KOALAnet (CVPR, 2021)
  ☆38Updated 3 years ago
• yhjo09 / AdaTarget
  ☆32Updated 6 months ago
• haoyuc / A2N
  PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"
  ☆87Updated 4 years ago
• lifengcs / DIN
  Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image Restoration
  ☆17Updated 4 years ago
• zeyuxiao1997 / EDPN
  ☆82Updated 4 years ago
• saeed-anwar / R2Net
  Pytorch code for "Attention Based Real Image Restoration", IEEE Transactions on Neural Networks and Learning Systems, 2021
  ☆18Updated 4 years ago
• shadyabh / Correction-Filter
  ☆76Updated 4 years ago
• terryoo / AINDNet
  Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
  ☆83Updated 5 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆149Updated 4 years ago
• HolmesShuan / AIM2020-Real-Super-Resolution
  Our solution to AIM2020 Real Image Super-Resolution Challenge (x2)
  ☆22Updated 5 years ago
• RaoUmer / SRResCGAN
  Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).
  ☆99Updated 2 years ago
• parkseobin / MLSR
  Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
  ☆67Updated 2 years ago
• Zj-BinXia / ENLCA
  This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI2022
  ☆87Updated 2 years ago
• psychopa4 / MSHPFNL
  A Progressive Fusion Generative Adversarial Network for Realistic and Consistent Video Super-Resolution
  ☆17Updated 3 years ago
• dandingbudanding / BAM
  we proposed a light-weigt but efficient blanced attention mechanism for SISR task.
  ☆56Updated 4 years ago
• lusinlu / gradient-variance-loss
  Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"
  ☆33Updated 3 years ago
• zudi-lin / rcan-it
  Revisiting RCAN: Improved Training for Image Super-Resolution
  ☆96Updated 3 years ago
• VDIGPKU / QGCN
  Learning a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal (TIP 2020)
  ☆38Updated 4 years ago
• XPixelGroup / RDSR
  (CVPR2022) Reflash Dropout in Image Super-Resolution
  ☆82Updated last year
• AlexZou14 / SCET
  Self-Calibrated Efficient Transformer for Lightweight Super-Resolution (offical)
  ☆38Updated 3 years ago
• csmliu / AdaDSR
  Deep Adaptive Inference Networks for Single Image Super-Resolution
  ☆99Updated 5 years ago
• YuanfeiHuang / TLSR
  codes for TLSR (TPAMI 2022)
  ☆13Updated 2 years ago
• WenxueCui / Transformer_Low_Level_Vision
  Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)
  ☆54Updated 3 years ago
• volflow / DeFlow
  Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
  ☆94Updated 3 years ago
• louisfghbvc / Efficient-Transformer-for-Single-Image-Super-Resolution
  Efficient Transformer for Single Image Super-Resolution
  ☆33Updated 3 years ago
• littlepure2333 / SamplingAug
  SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution (BMVC2021)
  ☆39Updated 3 years ago
• sxpro / ImageEnhance_cGAN
  Pytorch implementation of "Enhance Image as You Like with Unpaired Learning" (IJCAI 2021)
  ☆33Updated 4 years ago
• JWSoh / VDIR
  Variational Deep Image Denoising
  ☆26Updated 3 years ago
• Yaziwel / TAT
  [MICCAI 2025] TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration
  ☆26Updated 2 months ago
• yuke93 / Path-Restore
  Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)
  ☆42Updated 3 years ago