Alternatives and similar repositories for CNNIQA

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

• lidq92 / CNNIQAplusplus
  [unofficial] PyTorch Implementation of image quality assessment methods: IQA-CNN++ in ICIP2015 and IQA-CNN in CVPR2014
  ☆96Updated 2 years ago
• zwx8981 / DBCNN
  Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
  ☆114Updated 4 years ago
• lidq92 / WaDIQaM
  [unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference imag…
  ☆129Updated 2 years ago
• lidq92 / SFA
  [official] No reference image quality assessment based Semantic Feature Aggregation, published in ACM MM 2017, TMM 2019
  ☆80Updated last year
• zwx8981 / DBCNN-PyTorch
  An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
  ☆223Updated 3 years ago
• HuiZeng / BIQA_Toolbox
  A benchmark implementation of representative deep BIQA models
  ☆117Updated 6 years ago
• jongyookim / IQA_DeepQA_FR_release
  CNN-based full-reference image quality assessment
  ☆65Updated 7 years ago
• jongyookim / IQA_BIECON_release
  CNN-based no-reference image quality assessment
  ☆95Updated 7 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
• ysyscool / SGDNet
  ACM MM 2019 SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment
  ☆77Updated last year
• zhuhancheng / MetaIQA
  ☆128Updated 4 years ago
• subpic / koniq
  KonIQ-10k Deep Learning Models
  ☆128Updated 3 years ago
• ZhengyuZhao / koniq-PyTorch
  PyTorch code for No-Reference Image Quality Assessment on KonIQ-10k
  ☆60Updated last year
• xungeer29 / No-reference-Image-Quality-Assessment
  无参考图像质量评估
  ☆79Updated 6 years ago
• dmaniry / deepIQA
  NR and FR IQA models based on Deep Convolutional Neural Networks
  ☆206Updated 6 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
• 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
• ranjiewwen / IQA-paper
  Image Quality Assessment
  ☆19Updated 7 years ago
• h4nwei / SPAQ
  [CVPR'20] Official SPAQ & Implementation
  ☆186Updated last year
• winlaic / IQADataset
  General dataset for Image Quality Assessment on PyTorch.
  ☆13Updated 5 years ago
• 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
• lidq92 / VSFA
  [official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)
  ☆210Updated 2 years ago
• rendezhous / image-quality-assessment-python
  Python code to compute features of classic Image Quality Assessment models
  ☆38Updated 7 years ago
• junyongyou / triq
  TRIQ implementation
  ☆137Updated 2 years ago
• qingsenyangit / Two-stream_IQA
  ☆10Updated 6 years ago
• zee0518 / TF_RankIQA
  Tensorflow implement of RankIQA.
  ☆25Updated 6 years ago
• baidut / paq2piq
  PaQ2PiQ in PyTorch
  ☆56Updated 7 months ago
• weizhou-geek / Image-Quality-Assessment-Benchmark
  A collection of state-of-the-art image quality assessment algorithms
  ☆341Updated 10 months ago
• buyizhiyou / NRVQA
  no reference image/video quaity assessment(BRISQUE/NIQE/PIQE/DIQA/deepBIQ/VSFA
  ☆291Updated 10 months ago