Alternatives and similar repositories for MDRN

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

• stella-von / LKDN
  Large Kernel Distillation Network for Efficient Single Image Super-Resolution
  ☆36Updated last year
• XYLGroup / DKP
  ☆61Updated last year
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 2 years ago
• lhh-pi / LAM
  Local AtrrLocal Attribution Maps (LAM)
  ☆14Updated 2 years ago
• jaroslaw1007 / CLIT
  ☆49Updated 3 weeks 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
• pbehjatii / DiVANet
  PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)
  ☆19Updated last year
• XLearning-SCU / 2023-CVPR-CODE
  PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).
  ☆57Updated last year
• Wang-XIaoDingdd / LGBPN
  LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising (CVPR 2023)
  ☆58Updated 2 years ago
• Aitical / PCL-SISR
  [IEEE TNNLS] A Practical Contrastive Learning Framework for Single Image Super-Resolution
  ☆32Updated last year
• IVIPLab / CFIN
  This repository is an official PyTorch implementation of our paper "Cross-receptive Focused Inference Network for Lightweight Image Super…
  ☆11Updated last year
• X-Lowlevel-Vision / LAM_Demo
  Demo package for colab tutorial
  ☆54Updated 4 years ago
• ofsoundof / NTIRE2023_ESR
  ☆22Updated 2 years ago
• p1y2z3 / SDAP
  Random Sub-Samples Generation for Self-Supervised Real Image Denoising (ICCV 2023)
  ☆41Updated last year
• Tombs98 / ALGNet
  Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring
  ☆41Updated last week
• icandle / EFDN
  Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)
  ☆69Updated last year
• passerer / HPINet
  Hierarchical Pixel Integration for Lightweight Image Super-Resolution
  ☆32Updated last year
• mandalinadagi / Wavelettention
  [CVPRW 2024] Training Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
  ☆35Updated 11 months ago
• J-FHu / UDCUNet
  ☆18Updated last year
• saturnian77 / ASID
  ASID
  ☆26Updated 4 months ago
• Tombs98 / MHNet
  A novel network for image reatoration. Mixed Hierarchy Network for Image Restoration.
  ☆33Updated 6 months ago
• ZhouYiiFeng / CDSR
  Joint Learning Content and Degradation Aware Embedding for Blind Super-Resolution
  ☆14Updated 2 years ago
• NeonLeexiang / DLGSANet
  ☆93Updated 4 months ago
• laoyangui / DLSN
  This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".
  ☆53Updated last year
• ymff0592 / super-resolution
  A PyTorch implementation of 'LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block'
  ☆30Updated 3 years ago
• gladzhang / Xformer
  Xformer: Hybrid X-Shaped Transformer for Image Denoising
  ☆46Updated last year
• bit-isp / Real-LLRVD
  Low-light Raw Video Denoising with a High Quality Realistic Motion Dataset
  ☆18Updated 2 years ago
• zhoumumu / VapSR
  models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
  ☆74Updated 2 years ago
• edbca / DARSR
  [ICCV 2023] Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution
  ☆20Updated last year
• pp00704831 / BANet-TIP-2022
  ☆39Updated 11 months ago