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
• baidut / PaQ-2-PiQ
  Source code for "From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality"
  ☆100Updated 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
• zwx8981 / DBCNN
  Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
  ☆109Updated 3 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
• lidq92 / LinearityIQA
  [official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
  ☆98Updated last year
• lidq92 / CNNIQA
  [unofficial] CVPR2014-Convolutional neural networks for no-reference image quality assessment
  ☆163Updated 2 years ago
• zhuhancheng / MetaIQA
  ☆127Updated 4 years ago
• subpic / koniq
  KonIQ-10k Deep Learning Models
  ☆121Updated 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
• HuiZeng / BIQA_Toolbox
  A benchmark implementation of representative deep BIQA models
  ☆116Updated 5 years ago
• zwx8981 / DBCNN-PyTorch
  An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
  ☆220Updated 2 years ago
• ZhengyuZhao / koniq-PyTorch
  PyTorch code for No-Reference Image Quality Assessment on KonIQ-10k
  ☆58Updated last year
• GZHU-Image-Lab / CLRIQA
  Controllable List-wise Ranking for Universal No-reference Image Quality Assessment
  ☆21Updated 4 years ago
• baidut / paq2piq
  PaQ2PiQ in PyTorch
  ☆55Updated 3 months ago
• junyongyou / triq
  TRIQ implementation
  ☆136Updated 2 years ago
• HaomingCai / PIPAL-dataset
  [ Official ] - PIPAL Dataset and Training Codebase. ECCV-2020, NTIRE-21/22.
  ☆72Updated 3 years ago
• lidq92 / MDTVSFA
  [official] Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training (IJCV 2021)
  ☆86Updated 2 years ago
• h4nwei / SPAQ
  [CVPR'20] Official SPAQ & Implementation
  ☆180Updated last year
• qingsenyangit / Two-stream_IQA
  ☆10Updated 6 years ago
• lidq92 / VSFA
  [official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)
  ☆203Updated 2 years ago
• jongyookim / IQA_DeepQA_FR_release
  CNN-based full-reference image quality assessment
  ☆65Updated 7 years ago
• zwx8981 / IAA_project
  Codebase for image aesthetic assessment
  ☆12Updated 5 years ago
• geekyutao / GraphIQA
  GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment
  ☆42Updated last year
• buyizhiyou / papers
  Some papers in ML,DL,RL
  ☆35Updated last month
• weizhou-geek / Recent-Image-Quality-Related-Papers
  A list of image quality related papers published in top conferences and journals
  ☆115Updated 11 months ago
• sooyekim / Deep-SR-ITM
  Official repository of Deep SR-ITM (oral at ICCV 2019)
  ☆101Updated 2 years ago
• JWSoh / NatSR
  Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
  ☆116Updated 4 years ago
• lizhengwei1992 / MS_SSIM_pytorch
  ms_ssim loss function implemented in pytorch
  ☆74Updated 6 years ago
• pavancm / vbliinds
  Fast Blind Natural Video Quality (V-BLIINDS)
  ☆25Updated last month