Alternatives and similar repositories for RDSR:

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

• zhjy2016 / SPLUT
  Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution
  ☆52Updated 2 years ago
• fenglinglwb / EDT
  On Efficient Transformer-Based Image Pre-training for Low-Level Vision
  ☆132Updated 2 years ago
• TencentARC / RepSR
  Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"
  ☆76Updated 2 years ago
• X-Lowlevel-Vision / LAM_Demo
  Demo package for colab tutorial
  ☆54Updated 4 years ago
• zhoumumu / VapSR
  models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
  ☆74Updated 2 years ago
• zmzhang1998 / Real-RawVSR
  Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset (Real-RawVSR), ECCV 2022
  ☆56Updated last year
• passerer / HPINet
  Hierarchical Pixel Integration for Lightweight Image Super-Resolution
  ☆33Updated 11 months ago
• cszhilu1998 / SelfDZSR
  [ECCV 2022] Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
  ☆70Updated 11 months ago
• sunny2109 / MobileSR-NTIRE2022
  [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution
  ☆73Updated 2 years ago
• ryanxingql / winner-ntire22-vqe
  Method and experience of winning the NTIRE'22 VQE challenge.
  ☆81Updated 2 years ago
• NJU-Jet / FMEN
  Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution
  ☆75Updated 2 years ago
• hjSim / KOALAnet
  Official repository of KOALAnet (CVPR, 2021)
  ☆38Updated 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
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 2 years ago
• icandle / EFDN
  Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)
  ☆67Updated 11 months ago
• csjliang / DASR
  Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022
  ☆142Updated 2 years ago
• songyonger / FADN
  An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"
  ☆34Updated 3 years ago
• ofsoundof / IMDN
  ☆50Updated 3 years ago
• DarrenPan / Awesome-ECCV2022-Low-Level-Vision
  A Collection of Papers and Codes in ECCV2022 about low level vision
  ☆167Updated last year
• zsyOAOA / BSRDM
  Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)
  ☆96Updated 2 years ago
• dasongli1 / Learning_degradation
  ☆60Updated last year
• cszhilu1998 / RAW-to-sRGB
  [ICCV 2021] Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision
  ☆88Updated 2 years ago
• zhaoyuzhi / D2HNet
  D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration. ECCV, 2022
  ☆78Updated 10 months ago
• yuke93 / Path-Restore
  Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)
  ☆42Updated 3 years ago
• megvii-research / D2C-SR
  Official MegEngine implementation of ECCV2022 "D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution".
  ☆45Updated 2 years ago
• littlepure2333 / SamplingAug
  SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution (BMVC2021)
  ☆38Updated 3 years ago
• codyshen0000 / ITSRN
  Code repo for "Implicit Transformer Network for Screen ContentImage Continuous Super-Resolution" (NeurIPS'21)
  ☆50Updated last month
• junpan19 / ETDM
  ☆25Updated 2 years ago
• WenxueCui / Transformer_Low_Level_Vision
  Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)
  ☆53Updated 2 years ago
• QianNing0 / UDL
  PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"
  ☆57Updated 3 years ago