Alternatives and similar repositories for CLRIQA

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

• lidq92 / WaDIQaM
  [unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference imag…
  ☆131Updated 2 years ago
• ysyscool / SGDNet
  ACM MM 2019 SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment
  ☆77Updated 2 years ago
• baidut / paq2piq
  PaQ2PiQ in PyTorch
  ☆56Updated last year
• baidut / PaQ-2-PiQ
  Source code for "From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality"
  ☆101Updated 3 years ago
• subpic / koniq
  KonIQ-10k Deep Learning Models
  ☆137Updated 4 years ago
• lidq92 / LinearityIQA
  [official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
  ☆99Updated 2 years ago
• lidq92 / MDTVSFA
  [official] Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training (IJCV 2021)
  ☆91Updated 3 years ago
• lidq92 / CNNIQAplusplus
  [unofficial] PyTorch Implementation of image quality assessment methods: IQA-CNN++ in ICIP2015 and IQA-CNN in CVPR2014
  ☆96Updated 2 years ago
• LeonLIU08 / DeepQA-with-Pytorch
  Re-implement the work from "Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework"
  ☆34Updated 6 years ago
• junyongyou / triq
  TRIQ implementation
  ☆137Updated 2 years ago
• HuiZeng / Grid-Anchor-based-Image-Cropping
  Project page of the CVPR2019 paper "Reliable and Efficient Image Cropping: A Grid Anchor based Approach"
  ☆122Updated 5 years ago
• lidq92 / SFA
  [official] No reference image quality assessment based Semantic Feature Aggregation, published in ACM MM 2017, TMM 2019
  ☆82Updated 2 years ago
• subpic / ava-mlsp
  MLSP feature learning for the AVA aesthetics database
  ☆77Updated 4 years ago
• zwx8981 / DBCNN
  Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
  ☆115Updated 4 years ago
• lidq92 / CNNIQA
  [unofficial] CVPR2014-Convolutional neural networks for no-reference image quality assessment
  ☆167Updated 2 years ago
• jongyookim / IQA_DeepQA_FR_release
  CNN-based full-reference image quality assessment
  ☆65Updated 7 years ago
• zhuhancheng / MetaIQA
  ☆129Updated 5 years ago
• HuiZeng / BIQA_Toolbox
  A benchmark implementation of representative deep BIQA models
  ☆117Updated 6 years ago
• ZhengyuZhao / koniq-PyTorch
  PyTorch code for No-Reference Image Quality Assessment on KonIQ-10k
  ☆63Updated 2 years ago
• dannysdeng / EnhanceGAN
  ☆49Updated 4 years ago
• zwx8981 / DBCNN-PyTorch
  An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
  ☆225Updated 3 years ago
• lidq92 / VSFA
  [official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)
  ☆213Updated 2 years ago
• lfovia / QAGANS
  Quality Aware Generative Adversarial Networks
  ☆21Updated 5 years ago
• Openning07 / MPADA
  The official implementation of MP_{ada} in Attention-based Multi-patch Aggregation for Image Aesthetic Assessment (MM 2018)
  ☆84Updated 4 years ago
• ranjiewwen / TF_EnhanceDPED
  Tensorflow implement of image enhancement base on dped dataset and join PRIM2018 Challenge on Perceptual Image Enhancement on Smartphones…
  ☆17Updated 6 years ago
• zijunwei / ViewProposalNet
  VPN for CVPR18
  ☆53Updated 7 years ago
• baidut / PatchVQ
  Patch-VQ: ‘Patching Up’ the Video Quality Problem
  ☆73Updated 9 months ago
• zijunwei / ViewEvaluationNet
  VEN for cvpr2018
  ☆32Updated 7 years ago
• kwanyeelin / HIQA
  Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning
  ☆42Updated 7 years ago
• cpf0079 / UCDA
  Source codes for "Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment"
  ☆19Updated 3 years ago