Alternatives and similar repositories for LAM_Demo:

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

• laoyangui / DLSN
  This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".
  ☆53Updated last year
• XLearning-SCU / 2023-CVPR-CODE
  PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).
  ☆56Updated last year
• icandle / EFDN
  Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)
  ☆68Updated last year
• ZhouYiiFeng / CDSR
  Joint Learning Content and Degradation Aware Embedding for Blind Super-Resolution
  ☆14Updated 2 years ago
• passerer / HPINet
  Hierarchical Pixel Integration for Lightweight Image Super-Resolution
  ☆32Updated last year
• zhoumumu / VapSR
  models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
  ☆74Updated 2 years ago
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 2 years ago
• dasongli1 / Learning_degradation
  ☆60Updated last year
• 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
• anse3832 / USR_DA
  Unofficial pytorch implementation of the paper "Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective"
  ☆26Updated 3 years ago
• jaroslaw1007 / CLIT
  ☆49Updated 4 months ago
• DeepMed-Lab-ECNU / DeepRFT-AAAI2023
  ☆20Updated 2 years ago
• Aitical / PCL-SISR
  [IEEE TNNLS] A Practical Contrastive Learning Framework for Single Image Super-Resolution
  ☆32Updated 11 months ago
• zsyOAOA / BSRDM
  Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)
  ☆96Updated 2 years ago
• XPixelGroup / RDSR
  (CVPR2022) Reflash Dropout in Image Super-Resolution
  ☆80Updated 9 months ago
• zhengchen1999 / CAT
  PyTorch code for our NeurIPS 2022 paper "Cross Aggregation Transformer for Image Restoration"
  ☆134Updated 5 months ago
• sunny2109 / MobileSR-NTIRE2022
  [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution
  ☆72Updated 2 years ago
• Fangzhenxuan / UFPDeblur
  ☆37Updated last year
• XYLGroup / DKP
  ☆59Updated last year
• rami0205 / NGramSwin
  N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution (CVPR2023 Accepted)
  ☆81Updated last year
• QianNing0 / UDL
  PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"
  ☆57Updated 3 years ago
• Zdafeng / SwinFIR
  ☆88Updated 11 months ago
• sunny2109 / Awesome-low-level-vision-resources
  A curated list of resources for Low-level Vision Tasks
  ☆58Updated last year
• NJU-Jet / FMEN
  Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution
  ☆76Updated 3 years ago
• DarrenPan / Awesome-AAAI2023-Low-Level-Vision
  A Collection of Papers and Codes in AAAI2022 related to Low-Level Vision
  ☆43Updated 10 months ago
• pp00704831 / Stripformer-ECCV-2022-
  ☆100Updated 7 months ago
• Zj-BinXia / ENLCA
  This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI2022
  ☆87Updated last year
• kkkls / EVSSM
  [CVPR 2025] Efficient Visual State Space Model for Image Deblurring
  ☆50Updated 3 weeks ago
• zhangyi-3 / UCDIR
  A Unified Conditional Framework for Diffusion-based Image Restoration
  ☆88Updated last year
• nagejacob / SpatiallyAdaptiveSSID
  Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising (CVPR 2023)
  ☆95Updated last year