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license: mit |
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--- |
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# Overview |
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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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AIPQ is a full-reference image quality assessment method. 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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