Alternatives and similar repositories for A2N:

Users that are interested in A2N are comparing it to the libraries listed below

• zhoumumu / VapSR
  models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
  ☆74Updated 2 years ago
• njulj / RFANet
  Residual Feature Aggregation Network for Image Super-Resolution
  ☆105Updated 4 years ago
• zudi-lin / rcan-it
  Revisiting RCAN: Improved Training for Image Super-Resolution
  ☆94Updated 2 years ago
• dvlab-research / MASA-SR
  MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)
  ☆166Updated 3 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆148Updated 3 years ago
• HarukiYqM / Non-Local-Sparse-Attention
  PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).
  ☆179Updated 3 years ago
• njulj / AdaDM
  AdaDM: Enabling Normalization for Image Super-Resolution
  ☆60Updated 3 years ago
• fenglinglwb / EDT
  On Efficient Transformer-Based Image Pre-training for Low-Level Vision
  ☆132Updated 2 years ago
• JimmyChame / SADNet
  Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"
  ☆131Updated 2 years ago
• AbdulMoqeet / MAFFSRN
  ☆46Updated 3 years ago
• anse3832 / USR_DA
  Unofficial pytorch implementation of the paper "Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective"
  ☆26Updated 3 years ago
• JingyunLiang / MANet
  Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)
  ☆172Updated 3 years ago
• wwlCape / HAN
  PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"
  ☆177Updated 3 years ago
• terryoo / AINDNet
  Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
  ☆80Updated 5 years ago
• hjSim / KOALAnet
  Official repository of KOALAnet (CVPR, 2021)
  ☆38Updated 2 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
• ymff0592 / super-resolution
  A PyTorch implementation of 'LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block'
  ☆29Updated 3 years ago
• zeyuxiao1997 / EDPN
  ☆82Updated 3 years ago
• ShuhangGu / DASR
  Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"
  ☆236Updated 3 years ago
• greatlog / UnpairedSR
  This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…
  ☆167Updated 3 years ago
• Alan-xw / RealSR
  [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
  ☆83Updated 3 years ago
• sunny2109 / MobileSR-NTIRE2022
  [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution
  ☆73Updated 2 years ago
• XPixelGroup / RDSR
  (CVPR2022) Reflash Dropout in Image Super-Resolution
  ☆80Updated 9 months ago
• yhjo09 / AdaTarget
  ☆30Updated 10 months ago
• shadyabh / Correction-Filter
  ☆76Updated 3 years ago
• parkseobin / MLSR
  Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
  ☆67Updated 2 years ago
• NJU-Jet / SR_Framework
  A generic framework which implements some famouts super-resolution models
  ☆66Updated 3 years ago
• Zj-BinXia / ENLCA
  This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI2022
  ☆87Updated last year
• Algolzw / EBSR
  Pytorch code for "EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment", CVPRW 2021, 1st NTIRE (real data track).
  ☆96Updated 2 years ago
• junpan19 / VSR_TGA
  code for paper "Video Super-resolution with Temporal Group Attention"
  ☆126Updated 4 years ago