Alternatives and similar repositories for UDL:

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

• anse3832 / USR_DA
  Unofficial pytorch implementation of the paper "Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective"
  ☆26Updated 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
• jiy173 / MANA
  Official implementation of Memory-Augmented Non-Local Attention for Video Super-Resolution in CVPR 2022
  ☆42Updated 3 years ago
• XPixelGroup / RDSR
  (CVPR2022) Reflash Dropout in Image Super-Resolution
  ☆80Updated 9 months ago
• X-Lowlevel-Vision / LAM_Demo
  Demo package for colab tutorial
  ☆54Updated 4 years ago
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 2 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
• onwn / C2N
  ☆38Updated 3 years ago
• songyonger / FADN
  An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"
  ☆34Updated 3 years ago
• XLearning-SCU / 2023-CVPR-CODE
  PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).
  ☆56Updated last year
• codyshen0000 / ITSRN
  Code repo for "Implicit Transformer Network for Screen ContentImage Continuous Super-Resolution" (NeurIPS'21)
  ☆50Updated last month
• fenglinglwb / EDT
  On Efficient Transformer-Based Image Pre-training for Low-Level Vision
  ☆134Updated 2 years ago
• Slime0519 / CVPR_2020_SSEN
  ☆23Updated 4 years ago
• jaroslaw1007 / CLIT
  ☆49Updated 4 months ago
• DarrenPan / Awesome-ECCV2022-Low-Level-Vision
  A Collection of Papers and Codes in ECCV2022 about low level vision
  ☆167Updated 2 years ago
• csjliang / DASR
  Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022
  ☆143Updated 2 years ago
• Seowon-Ji / XYDeblur
  ☆16Updated 2 years ago
• Zj-BinXia / MRDA
  This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023
  ☆27Updated last year
• zhoumumu / VapSR
  models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
  ☆74Updated 2 years ago
• ryanxingql / winner-ntire22-vqe
  Method and experience of winning the NTIRE'22 VQE challenge.
  ☆81Updated 2 years ago
• dasongli1 / Learning_degradation
  ☆60Updated last year
• zhengchen1999 / CAT
  PyTorch code for our NeurIPS 2022 paper "Cross Aggregation Transformer for Image Restoration"
  ☆134Updated 5 months ago
• WenxueCui / Transformer_Low_Level_Vision
  Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)
  ☆53Updated 3 years ago
• neuralchen / EQSR
  An Arbitrary-Scale Image Super-Resolution Framework (CVPR2023)
  ☆42Updated last year
• lyh-18 / DegAE_DegradationAutoencoder
  Codes for CVPR2023 paper "DegAE: A New Pretraining Paradigm for Low-level Vision"
  ☆76Updated last year
• passerer / HPINet
  Hierarchical Pixel Integration for Lightweight Image Super-Resolution
  ☆32Updated last year
• zsyOAOA / BSRDM
  Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)
  ☆96Updated 2 years ago
• sunny2109 / Awesome-low-level-vision-resources
  A curated list of resources for Low-level Vision Tasks
  ☆58Updated last year
• jianzhangcs / DAGL
  Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]
  ☆105Updated 3 years ago
• pbehjatii / DiVANet
  PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)
  ☆19Updated last year