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History of Changelog

  • 🚀Oct, 2024. Update topiq_nr-face by training with the GCFIQA dataset. Thanks to their work! 🤗
  • 🎨Oct, 2024. Add perceptual color difference metric msswd proposed in MS-SWD (ECCV2024). Thanks to their work! 🤗
  • ⏳Sep, 2024. Add efficiency benchmark. With $1080\times800$ image as inputs, all metrics complete in under 1 second on the GPU (NVIDIA V100), and most of them, except for qalign and qalign_8bit, require less than 6GB of GPU memory.
  • ⚡Aug, 2024. Add qalign_4bit and qalign_8bit with much less memory requirement and similar performance.
  • ✨Aug, 2024. Add piqe metric, and niqe_matlab, brisque_matlab with default matlab parameters (results have been calibrated with MATLAB R2021b).
  • 💥Aug, 2024. Add lpips+ and lpips-vgg+ proposed in our paper TOPIQ.
  • 🔥June, 2024. Add arniqa and its variances trained on different datasets, refer to official repo here. Thanks for the contribution from Lorenzo Agnolucci 🤗.
  • Apr 24, 2024. Add inception_score and console entry point with pyiqa command.
  • Mar 11, 2024. Add unique, refer to official repo here. Thanks for the contribution from Weixia Zhang 🤗.
  • 💥 Jan 31, 2024. Add qalign for both NR and IAA. It is our most powerful unified metric based on large vision-language models, and shows remarkable performance and robustness. Refer Q-Align for more details. Use it with the following codes: 
    qalign = create_metric('qalign').cuda()
quality_score = qalign(input, task_='quality')
aesthetic_score = qalign(input, task_='aesthetic')
  • Jan 19, 2024. Add wadiqam_fr and wadiqam_nr. All implemented methods are usable now 🍻.
  • Dec 23, 2023. Add liqe and liqe_mix. Thanks for the contribution from Weixia Zhang 🤗.
  • Oct 09, 2023. Add datasets: PIQ2023, GFIQA. Add metric topiq_nr-face. We release example results on FFHQ here for reference.
  • Aug 15, 2023. Add st-lpips and laion_aes. Refer to official repo at ShiftTolerant-LPIPS and improved-aesthetic-predictor
  • Aug 05, 2023. Add our work TOPIQ with remarkable performance on almost all benchmarks via efficient Resnet50 backbone. Use it with topiq_fr, topiq_nr, topiq_iaa for Full-Reference, No-Reference and Aesthetic assessment respectively.
  • March 30, 2023. Add URanker for IQA of under water images.
  • March 29, 2023. 🚨 Hot fix of NRQM & PI.
  • March 25, 2023. Add TreS, HyperIQA, CNNIQA, CLIPIQA.
  • Sep 1, 2022. 1) Add pretrained models for MANIQA and AHIQ. 2) Add dataset interface for pieapp and PIPAL.
  • June 3, 2022. Add FID metric. See clean-fid for more details.
  • March 11, 2022. Add pretrained DBCNN, NIMA, and official model of PieAPP, paq2piq.
  • March 5, 2022. Add NRQM, PI, ILNIQE metrics.
  • Feb 2, 2022. Add MUSIQ inference code, and the converted official weights. See Official codes.

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