Alternatives and similar repositories for WaDIQaM:

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

• lidq92 / SFA
  [official] No reference image quality assessment based Semantic Feature Aggregation, published in ACM MM 2017, TMM 2019
  ☆80Updated last year
• lidq92 / CNNIQA
  [unofficial] CVPR2014-Convolutional neural networks for no-reference image quality assessment
  ☆163Updated 2 years ago
• HuiZeng / BIQA_Toolbox
  A benchmark implementation of representative deep BIQA models
  ☆116Updated 6 years ago
• zwx8981 / DBCNN
  Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
  ☆114Updated 4 years ago
• zwx8981 / DBCNN-PyTorch
  An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
  ☆224Updated 3 years ago
• zhuhancheng / MetaIQA
  ☆128Updated 4 years ago
• baidut / PaQ-2-PiQ
  Source code for "From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality"
  ☆101Updated 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 last year
• 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"
  ☆33Updated 6 years ago
• subpic / koniq
  KonIQ-10k Deep Learning Models
  ☆128Updated 3 years ago
• lidq92 / LinearityIQA
  [official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
  ☆100Updated last year
• lidq92 / MDTVSFA
  [official] Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training (IJCV 2021)
  ☆88Updated 2 years ago
• GZHU-Image-Lab / CLRIQA
  Controllable List-wise Ranking for Universal No-reference Image Quality Assessment
  ☆21Updated 4 years ago
• ZhengyuZhao / koniq-PyTorch
  PyTorch code for No-Reference Image Quality Assessment on KonIQ-10k
  ☆60Updated last year
• baidut / paq2piq
  PaQ2PiQ in PyTorch
  ☆56Updated 6 months ago
• lidq92 / VSFA
  [official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)
  ☆209Updated 2 years ago
• junyongyou / triq
  TRIQ implementation
  ☆137Updated 2 years ago
• HaomingCai / PIPAL-dataset
  [ Official ] - PIPAL Dataset and Training Codebase. ECCV-2020, NTIRE-21/22.
  ☆75Updated 3 years ago
• chaoma99 / sr-metric
  Learning a No-Reference Quality Metric for Single-Image Super-Rolution
  ☆132Updated 3 years ago
• jongyookim / IQA_DeepQA_FR_release
  CNN-based full-reference image quality assessment
  ☆65Updated 7 years ago
• h4nwei / SPAQ
  [CVPR'20] Official SPAQ & Implementation
  ☆184Updated last year
• dmaniry / deepIQA
  NR and FR IQA models based on Deep Convolutional Neural Networks
  ☆206Updated 6 years ago
• jongyookim / IQA_BIECON_release
  CNN-based no-reference image quality assessment
  ☆95Updated 7 years ago
• geekyutao / GraphIQA
  GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment
  ☆43Updated 2 years ago
• sooyekim / Deep-SR-ITM
  Official repository of Deep SR-ITM (oral at ICCV 2019)
  ☆101Updated 2 years ago
• RenYang-home / NTIRE21_VEnh
  ☆71Updated last year
• MTLab / rsgunet_image_enhance
  Champion solution of the PIRM2018 Challenge on Perceptual Image Enhancement on Smartphones (Track B: Image Enhancement)
  ☆122Updated 6 years ago
• zhenglab / IQA
  Image Quality Assessment.
  ☆65Updated 8 years ago
• qingsenyangit / Two-stream_IQA
  ☆10Updated 6 years ago