Alternatives and similar repositories for DARTS:

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

• Aitical / TCSR
  Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution
  ☆25Updated last year
• HITRainer / EAVSR
  Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution (CVPRW 2023)
  ☆26Updated last year
• XPixelGroup / CloserLookBlindSR
  Paper accepted by CVPR Workshop, NTIRE 2022
  ☆28Updated last year
• 24wenjie-li / FDIWN
  This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Im…
  ☆13Updated last year
• MKFMIKU / d2sm
  Deep Semantic Statistics Matching (D2SM) Denoising Network (ECCV22)
  ☆24Updated 2 years ago
• Fried-Rice-Lab / EMT
  Efficient Mixed Transformer for Single Image Super-Resolution
  ☆32Updated last year
• greatlog / RealDAN
  Official implementation of our IJCV paper
  ☆36Updated last year
• wzx0826 / LBNet
  This repository is an official PyTorch implementation of the paper "Lightweight Bimodal Network for Single-Image Super-Resolution via Sym…
  ☆32Updated 2 years ago
• yongliuy / DITN
  Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution
  ☆25Updated last year
• guanghaoyin / CMDSR
  Pytorch code for our TIP2022 paper "Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations"
  ☆23Updated 2 years ago
• zhengchen1999 / NTIRE2023_ImageSR_x4
  Solution of the NTIRE 2023 Challenge on Image Super-Resolution (x4)
  ☆18Updated 4 months ago
• natezhenghy / UDKE
  Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.
  ☆24Updated 2 years ago
• XPixelGroup / TGSR
  NeurIPS 2023 - Real-world super-resolution as multi-task learning
  ☆19Updated last year
• Tombs98 / MHNet
  A novel network for image reatoration. Mixed Hierarchy Network for Image Restoration.
  ☆31Updated 3 months ago
• haoyuc / LWay
  [CVPR 2024] Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
  ☆35Updated 10 months ago
• XrKang / ZeDuSR
  Zero-Shot Dual-Lens Super-Resolution, CVPR2023
  ☆18Updated last year
• YuanfeiHuang / CoMoNet
  codes for CoMoNet (TCSVT2023)
  ☆15Updated 8 months ago
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 2 years ago
• Arcananana / DSSR
  A pytorch implementation of Learning Detail-Structure Alternative Optimization for Blind Super-Resolution.
  ☆14Updated 2 years ago
• dslisleedh / IGConv
  IGConv: Implicit Grid Convolution for Multi-Scale Image Super-Resolution
  ☆22Updated 4 months ago
• jiahong-fu / KXNet
  Implementation of 'KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution' (ECCV2022 Oral)
  ☆24Updated last year
• libozhu03 / PassionSR
  ☆24Updated 3 months ago
• HaomingCai / SRPO
  Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. ECCV 2022. [ Official ]
  ☆21Updated 2 years ago
• YuanfeiHuang / TLSR
  codes for TLSR (TPAMI 2022)
  ☆13Updated last year
• littleYaang / HQ-50K
  HQ-50K: A Large-scale, High-quality Dataset for Image Restoration
  ☆82Updated 10 months ago
• thy960112 / MDBN
  This is an official implementation for "Multi-depth branch network for efficient image super-resolution".
  ☆19Updated 11 months ago
• AlexZou14 / SCET
  Self-Calibrated Efficient Transformer for Lightweight Super-Resolution (offical)
  ☆37Updated 2 years ago
• House-Leo / BasicSR2.0
  Update BasicSR to support PyTorch2.0 DDP training
  ☆15Updated 2 years ago
• csguoh / AdaptIR
  [NeurIPS2024] Tune your restoration model with one 3090 GPU!
  ☆66Updated 2 months ago
• pranavphoenix / WaveMixSR
  Single Image Super Resolution Using WaveMix
  ☆46Updated 6 months ago