Alternatives and similar repositories for AdaDM

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

• hjSim / KOALAnet
  Official repository of KOALAnet (CVPR, 2021)
  ☆38Updated 2 years ago
• yhjo09 / AdaTarget
  ☆32Updated 2 weeks ago
• XPixelGroup / RDSR
  (CVPR2022) Reflash Dropout in Image Super-Resolution
  ☆81Updated 11 months ago
• TencentARC / RepSR
  Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"
  ☆76Updated 3 years ago
• WenxueCui / Transformer_Low_Level_Vision
  Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)
  ☆54Updated 3 years ago
• zhoumumu / VapSR
  models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
  ☆74Updated 2 years ago
• fenglinglwb / EDT
  On Efficient Transformer-Based Image Pre-training for Low-Level Vision
  ☆135Updated 2 years ago
• sunny2109 / MobileSR-NTIRE2022
  [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution
  ☆73Updated 2 years ago
• dandingbudanding / BAM
  we proposed a light-weigt but efficient blanced attention mechanism for SISR task.
  ☆56Updated 3 years ago
• ofsoundof / IMDN
  ☆50Updated 3 years ago
• zudi-lin / rcan-it
  Revisiting RCAN: Improved Training for Image Super-Resolution
  ☆94Updated 3 years ago
• lusinlu / gradient-variance-loss
  Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"
  ☆31Updated 3 years ago
• Algolzw / NCNet
  [AIM & ECCVW 2022] Fast Nearest Convolution for Real-Time Image Super-Resolution
  ☆70Updated 2 years ago
• ryanxingql / winner-ntire22-vqe
  Method and experience of winning the NTIRE'22 VQE challenge.
  ☆82Updated 2 years ago
• terryoo / AINDNet
  Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)
  ☆81Updated 5 years ago
• Yaziwel / OverNet
  OverNet: lightweight multi-scale super-resolution with overscaling network
  ☆23Updated 2 years ago
• haoyuc / A2N
  PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"
  ☆88Updated 3 years ago
• NJU-Jet / FMEN
  Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution
  ☆76Updated 3 years ago
• parkseobin / MLSR
  Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
  ☆67Updated 2 years ago
• littlepure2333 / SamplingAug
  SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution (BMVC2021)
  ☆38Updated 3 years ago
• yuke93 / Path-Restore
  Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)
  ☆42Updated 3 years ago
• songyonger / FADN
  An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"
  ☆34Updated 4 years ago
• ckkelvinchan / offset-fidelity-loss
  ☆31Updated 4 years ago
• zhjy2016 / SPLUT
  Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution
  ☆53Updated last month
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 2 years ago
• IVIPLab / FDIWN
  This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Im…
  ☆21Updated 2 years ago
• Booooooooooo / CSD
  Towards Compact Single Image Super-Resolution via Contrastive Self-distillation, IJCAI21
  ☆76Updated 3 years ago
• ychfan / nsr
  Neural Sparse Representation for Image Restoration
  ☆31Updated 5 years ago
• AlexZou14 / SCET
  Self-Calibrated Efficient Transformer for Lightweight Super-Resolution (offical)
  ☆38Updated 3 years ago
• MingSun-Tse / ASSL
  [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)
  ☆61Updated 3 years ago