Alternatives and similar repositories for CFIN

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

• stella-von / LKDN
  Large Kernel Distillation Network for Efficient Single Image Super-Resolution
  ☆39Updated 2 years ago
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 3 years ago
• Zj-BinXia / MRDA
  This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023
  ☆27Updated 2 years ago
• Aitical / MCLIR
  [AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
  ☆37Updated 2 months ago
• Tombs98 / MHNet
  A novel network for image reatoration. Mixed Hierarchy Network for Image Restoration.
  ☆34Updated 11 months ago
• JWSoh / VDIR
  Variational Deep Image Denoising
  ☆26Updated 3 years ago
• Aitical / PCL-SISR
  [IEEE TNNLS] A Practical Contrastive Learning Framework for Single Image Super-Resolution
  ☆36Updated last year
• jiexiaou / Stoformer
  Official repository for the paper "Stochastic Window Transformer for Image Restoration".
  ☆31Updated 3 years ago
• laoyangui / DLSN
  This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".
  ☆53Updated 2 years ago
• hanlinwu / SADN
  Scale-aware Super-resolution Network
  ☆19Updated last year
• XLearning-SCU / 2023-CVPR-CODE
  PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).
  ☆58Updated 2 years ago
• AlexZou14 / SCET
  Self-Calibrated Efficient Transformer for Lightweight Super-Resolution (offical)
  ☆38Updated 3 years ago
• Aitical / TCSR
  Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution
  ☆24Updated 2 years ago
• 24wenjie-li / FDIWN
  This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Im…
  ☆13Updated 2 years ago
• cschenxiang / HQ-RAIN
  Towards Unified Deep Image Deraining: A Survey and A New Benchmark (TPAMI 2025)
  ☆29Updated 5 months ago
• XYLGroup / DKP
  ☆64Updated last year
• jiahong-fu / KXNet
  [ECCV 2022 Oral🔥] KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
  ☆24Updated 2 years ago
• HDCVLab / Enhanced-Spatio-Temporal-Interaction-Learning-for-Video-Deraining
  ☆24Updated 3 years ago
• shermanlian / swrn
  Sliding Window Recurrent Network for Efficient Video Super-Resolution, ECCVW 2022
  ☆15Updated 2 years ago
• icandle / PlainUSR
  Series solutions for Faster SR (NTIRE/ACCV)
  ☆33Updated 5 months ago
• natezhenghy / UDKE
  Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.
  ☆25Updated 2 years ago
• YC-Liang / DRT
  DRT: A Light Weight Deraining Recursive Transformer
  ☆31Updated 2 years ago
• dasongli1 / Learning_degradation
  ☆62Updated 2 years ago
• guanghaoyin / CMDSR
  Pytorch code for our TIP2022 paper "Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations"
  ☆23Updated 3 years ago
• House-Leo / CFDVSR
  Collaborative Feedback Discriminative Propagation for Video Super-Resolution
  ☆43Updated last year
• Tombs98 / ALGNet
  Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring
  ☆43Updated 2 months ago
• wzx0826 / MSFIN
  Lightweight Image Super-Resolution with Multi-Scale Feature Interaction Network (ICME 2021)
  ☆13Updated 3 years ago
• haoyuc / LWay
  [CVPR 2024] Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
  ☆42Updated last year
• edbca / DARSR
  [ICCV 2023] Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution
  ☆21Updated last year
• sunny2109 / MobileSR-NTIRE2022
  [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution
  ☆74Updated 2 years ago