Alternatives and similar repositories for SimpleIR:

Users that are interested in SimpleIR 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
• littlepure2333 / SamplingAug
  SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution (BMVC2021)
  ☆38Updated 2 years ago
• XPixelGroup / CloserLookBlindSR
  Paper accepted by CVPR Workshop, NTIRE 2022
  ☆28Updated last year
• GuoShi28 / GCP-Net
  Code for "Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images", TIP2021
  ☆46Updated 3 years ago
• vztu / MAXIM
  [CVPR 2022] Unofficial repository for "MAXIM: Multi-Axis MLP for Image Processing". Official repo: https://github.com/google-research/max…
  ☆20Updated 3 years ago
• hjSim / KOALAnet
  Official repository of KOALAnet (CVPR, 2021)
  ☆38Updated 2 years ago
• Yaziwel / OverNet
  OverNet: lightweight multi-scale super-resolution with overscaling network
  ☆23Updated 2 years ago
• sunny2109 / MobileSR-NTIRE2022
  [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution
  ☆73Updated 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
• 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
• happycaoyue / Pseudo-ISP
  ☆60Updated 4 years ago
• msxiaojin / Degradation-Model-Learning-for-Real-World-SISR
  This is the official code for our ACCV2020 work 'Degradation Model Learning for Real-World SISR'
  ☆9Updated 4 years ago
• MingSun-Tse / SRP
  [ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"
  ☆27Updated 2 years ago
• passerer / HPINet
  Hierarchical Pixel Integration for Lightweight Image Super-Resolution
  ☆33Updated 11 months ago
• zmzhang1998 / Real-RawVSR
  Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset (Real-RawVSR), ECCV 2022
  ☆56Updated last year
• TencentARC / Efficient-VSR-Training
  Codes for "Accelerating the Training of Video Super-Resolution"
  ☆30Updated 2 years ago
• RenYang-home / NTIRE22_VEnh_SR
  ☆19Updated last year
• HaomingCai / SRPO
  Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. ECCV 2022. [ Official ]
  ☆21Updated 2 years ago
• NJU-Jet / FMEN
  Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution
  ☆74Updated 2 years ago
• Algolzw / NCNet
  [AIM & ECCVW 2022] Fast Nearest Convolution for Real-Time Image Super-Resolution
  ☆70Updated 2 years ago
• IanYeung / RealVSR
  Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"
  ☆117Updated 3 years ago
• HDCVLab / UHD4K_UHD8K
  ☆34Updated 8 months ago
• MingSun-Tse / ASSL
  [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)
  ☆61Updated 2 years ago
• XPixelGroup / RDSR
  (CVPR2022) Reflash Dropout in Image Super-Resolution
  ☆80Updated 8 months ago
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 2 years ago
• cszhilu1998 / RAW-to-sRGB
  [ICCV 2021] Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision
  ☆87Updated 2 years ago
• njulj / AdaDM
  AdaDM: Enabling Normalization for Image Super-Resolution
  ☆60Updated 3 years ago
• sanechips-multimedia / syenet
  SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-Time Performance on Mobile Device, in ICCV 2023
  ☆52Updated last year
• zhoumumu / VapSR
  models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"
  ☆74Updated 2 years ago
• yuke93 / Path-Restore
  Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)
  ☆42Updated 3 years ago