Awesome
MetaIQA
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PyTorch 0.4.1 (with Python 3.6.0) implementation of the following paper.
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If you find our work is useful, pleaes cite our paper:
@InProceedings{Zhu2020MetaIQA,
author = {Zhu, Hancheng and Li, Leida and Wu, Jinjian and Dong, Weisheng and Shi, Guangming},
title = {{MetaIQA:} Deep Meta-Learning for No-Reference Image Quality Assessment},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {Jun.},
pages ={14143--14152},
year = {2020}
} -
MetaIQA_On_TID2013_KADID.py for quality prior model training.
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MetaIQA_FineTune_WILDLIVE.py for model fine-tuning on LIVE challenge database.
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If you want to train the quality prior model, you need download TID2013 and KADID-10K databases.