Alternatives and similar repositories for CAIR

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

• zzyfd / STAR-pytorch
  Implementation for paper "STAR: A Structure-aware Lightweight Transformer for Real-time Image Enhancement"
  ☆57Updated 3 years ago
• Vicky0522 / RSFNet
  [ICCV 2023] RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters
  ☆44Updated last year
• MADF-inpainting / Pytorch-MADF
  ☆61Updated 4 years ago
• ChrisDud0257 / HGGT
  Official Code for our CVPR2023 paper "Human Guided Ground-truth Generation for Realistic Image Super-resolution"
  ☆129Updated last year
• littlepure2333 / SamplingAug
  SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution (BMVC2021)
  ☆39Updated 3 years ago
• rimchang / RSBlur
  Repository for Realistic Blur Synthesis for Learning Image Deblurring
  ☆100Updated 4 months ago
• sunny2109 / MobileSR-NTIRE2022
  [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution
  ☆74Updated 2 years ago
• amberwangyili / neurop
  (ECCV 2022) Neural Color Operators for Sequential Image Retouching
  ☆57Updated 2 years ago
• XPixelGroup / CloserLookBlindSR
  Paper accepted by CVPR Workshop, NTIRE 2022
  ☆29Updated last year
• tsingqguo / misf
  ☆104Updated 2 years ago
• hminle / gamut-mlp
  Repository for the paper: GamutMLP - A Lightweight MLP for Color Loss Recovery (CVPR 2023)
  ☆43Updated last year
• Algolzw / NCNet
  [AIM & ECCVW 2022] Fast Nearest Convolution for Real-Time Image Super-Resolution
  ☆71Updated 2 years ago
• lin-zhao-resoLve / Deep-Symmetric-Network-Enhancement
  ☆19Updated 2 years ago
• zhjy2016 / SPLUT
  Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution
  ☆53Updated 3 months ago
• yamand16 / ExposureCorrection
  ☆69Updated last year
• hejingwenhejingwen / GCFSR
  ☆111Updated 2 years ago
• seungho-snu / SROOE
  Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation
  ☆64Updated 2 years ago
• aiff22 / MAI-2021-Workshop
  MAI 2021 Workshop
  ☆42Updated 4 years ago
• ChengxuLiu / 4DLUT
  [TIP'23] 4D LUT: Learnable Context-Aware 4D Lookup Table for Image Enhancement
  ☆21Updated last year
• DongGeun-Yoon / DCP
  Official PyTorch implementation of "Lightweight Alpha Matting Network Using Distillation-Based Channel Pruning" (Asian Conference on Comp…
  ☆13Updated 2 years ago
• eduardzamfir / NTIRE23-RTSR
  CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution
  ☆154Updated 2 years ago
• csxmli2016 / ReDegNet
  From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution (ECCV 2022)
  ☆123Updated 2 years ago
• Zj-BinXia / AMSA
  This project is the official implementation of 'Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-base…
  ☆73Updated last year
• bitzpy / Blind-Face-Restoration-Benchmark-Datasets-and-a-Baseline-Model
  ☆37Updated 2 years ago
• ImCharlesY / SepLUT
  [ECCV 2022] Official PyTorch Implementation of "SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement" (https://…
  ☆59Updated 3 years ago
• jkpark0825 / CAL_GAN
  ☆17Updated last year
• XPixelGroup / SEAL
  ICLR 2024 (Spotlight) - SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
  ☆53Updated last year
• cxzhou95 / XLSR
  PyTorch implementation of paper "Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices"
  ☆60Updated 2 years ago
• sunny2109 / ShuffleMixer
  [NeurIPS 2022] ShuffleMixer: An Efficient ConvNet for Image Super-Resolution
  ☆70Updated 2 years ago
• yinzhicun / MetaF2N
  MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces (ICCV 2023)
  ☆59Updated last year