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  license: mit
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  license: mit
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+ # Overview
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+
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+ <p align="center">
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+ <img src="https://avatars.githubusercontent.com/u/12619994?s=200&v=4" width="150">
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+ </p>
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+
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+ <!-- -------------------------------------------------------------------------------- -->
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+ AIPQ is a full-reference image quality assessment model. Three model checkpoints are provided in this repository, these models are to be used together with [this github repo](https://github.com/huawei-noah/noah-research/tree/master/aipq)
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+ ## Citation
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+ Please cite the following [paper](https://bmvc2022.mpi-inf.mpg.de/0244.pdf) when using our code or model:
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+ ``` bibtex
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+ @inproceedings{thong2022content,
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+ title={Content-Diverse Comparisons improve {IQA}},
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+ author={Thong, William and Costa Pereira, Jose and Parisot, Sarah and Leonardis, Ales and McDonagh, Steven},
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+ booktitle={British Machine Vision Conference},
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+ year={2022}
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+ }
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+ ```
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