Alternatives and similar repositories for USR_DA

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

• greatlog / UnpairedSR
  This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…
  ☆170Updated 3 years ago
• QianNing0 / UDL
  PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"
  ☆58Updated 4 years ago
• X-Lowlevel-Vision / LAM_Demo
  Demo package for colab tutorial
  ☆55Updated 5 years ago
• csjliang / DASR
  Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022
  ☆150Updated 3 years ago
• xiezw5 / Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution
  ☆201Updated 5 years ago
• jaroslaw1007 / CLIT
  ☆53Updated 6 months ago
• onwn / C2N
  ☆36Updated 3 years ago
• dvlab-research / MASA-SR
  MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)
  ☆170Updated 4 years ago
• lonelyhope / DADA
  ☆18Updated 3 years ago
• JingyunLiang / MANet
  Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)
  ☆175Updated 4 years ago
• xindongzhang / ELAN
  [ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution
  ☆232Updated 3 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
• zsyOAOA / BSRDM
  Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)
  ☆96Updated 3 years ago
• pp00704831 / BANet-TIP-2022
  ☆40Updated last year
• jaewon-lee-b / lte
  Local Texture Estimator for Implicit Representation Function, in CVPR 2022
  ☆188Updated 2 years ago
• csjliang / LDL
  Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolutio…
  ☆280Updated 3 years ago
• zhoumumu / VapSR
  models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
  ☆75Updated 3 years ago
• cschenxiang / DCD-GAN
  Unpaired Deep Image Deraining Using Dual Contrastive Learning (CVPR 2022)
  ☆55Updated 2 years ago
• fenglinglwb / EDT
  On Efficient Transformer-Based Image Pre-training for Low-Level Vision
  ☆136Updated 3 years ago
• NJU-Jet / SR_Framework
  A generic framework which implements some famouts super-resolution models
  ☆66Updated 4 years ago
• DizzyYunxuan / Image-Cutting-Tool
  Image cutting, comparison and save.
  ☆40Updated 4 years ago
• Slime0519 / SSEN-CVPR2020-Unofficial
  ☆23Updated 5 years ago
• Yang-Liu1082 / InvDN
  Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).
  ☆191Updated 4 years ago
• caojiezhang / DATSR
  PyTorch implementation of "Reference-based Image Super-Resolution with Deformable Attention Transformer (ECCV2022)"
  ☆160Updated last year
• dasongli1 / Learning_degradation
  ☆62Updated 2 years ago
• nagejacob / SpatiallyAdaptiveSSID
  Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising (CVPR 2023)
  ☆102Updated last year
• wooseoklee4 / AP-BSN
  Official PyTorch implementation of "AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network" in …
  ☆127Updated 3 years ago
• JingyunLiang / FKP
  Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
  ☆149Updated 4 years ago
• Reyhanehne / CVF-SID_PyTorch
  Official implementation of the paper "CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise f…
  ☆79Updated 2 years ago
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 3 years ago