Alternatives and similar repositories for SGDNet:

Users that are interested in SGDNet 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
• zwx8981 / DBCNN
  Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
  ☆110Updated 3 years ago
• lidq92 / LinearityIQA
  [official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
  ☆99Updated 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
• lidq92 / WaDIQaM
  [unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference imag…
  ☆129Updated last year
• qingsenyangit / Two-stream_IQA
  ☆10Updated 6 years ago
• 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
• zhuhancheng / MetaIQA
  ☆127Updated 4 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
• 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
  ☆222Updated 2 years ago
• jongyookim / IQA_DeepQA_FR_release
  CNN-based full-reference image quality assessment
  ☆65Updated 7 years ago
• GZHU-Image-Lab / CLRIQA
  Controllable List-wise Ranking for Universal No-reference Image Quality Assessment
  ☆21Updated 4 years ago
• zee0518 / TF_RankIQA
  Tensorflow implement of RankIQA.
  ☆25Updated 6 years ago
• baidut / paq2piq
  PaQ2PiQ in PyTorch
  ☆55Updated 3 months ago
• ZhengyuZhao / koniq-PyTorch
  PyTorch code for No-Reference Image Quality Assessment on KonIQ-10k
  ☆59Updated last year
• lidq92 / MDTVSFA
  [official] Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training (IJCV 2021)
  ☆87Updated 2 years ago
• lidq92 / CNNIQA
  [unofficial] CVPR2014-Convolutional neural networks for no-reference image quality assessment
  ☆163Updated 2 years ago
• geekyutao / GraphIQA
  GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment
  ☆42Updated last year
• SenJia / Saliency-CNN-Image-Quality-Assessment
  ☆22Updated 6 years ago
• subpic / koniq
  KonIQ-10k Deep Learning Models
  ☆122Updated 3 years ago
• jongyookim / IQA_BIECON_release
  CNN-based no-reference image quality assessment
  ☆96Updated 7 years ago
• kwanyeelin / HIQA
  Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning
  ☆41Updated 6 years ago
• junyongyou / triq
  TRIQ implementation
  ☆136Updated 2 years ago
• lllllllllllll-llll / hyperIQA
  Pytorch version of the CVPR 2020 paper: Blindly Assess Image Quality in the Wild Guided by A Self-Adaptive Hyper Network
  ☆13Updated 4 years ago
• weizhou-geek / DeepSRQ
  Blind quality assessment for image superresolution using deep two-stream convolutional networks, published in Information Sciences 2020
  ☆12Updated 3 years ago
• zhenglab / IQA
  Image Quality Assessment.
  ☆65Updated 8 years ago
• HaomingCai / PIPAL-dataset
  [ Official ] - PIPAL Dataset and Training Codebase. ECCV-2020, NTIRE-21/22.
  ☆72Updated 3 years ago
• h4nwei / SPAQ
  [CVPR'20] Official SPAQ & Implementation
  ☆181Updated last year
• lllllllllllll-llll / NSSADNN_IQA
  Pytorch version of IEEE Transactions on Multimedia 2019: "Naturalness-Aware Deep No-Reference Image Quality Assessment."
  ☆11Updated 4 years ago