Total runs:
130.8K
Run Growth:
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Growth Rate:
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Sponsored by
YouArt
huawei-noah / aipq
Model's Last Updated: September 27 2023
Introduction of aipq
Model Details of aipq
Overview
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
Citation
Please cite the following paper when using our code or model:
@inproceedings{thong2022content,
title={Content-Diverse Comparisons improve {IQA}},
author={Thong, William and Costa Pereira, Jose and Parisot, Sarah and Leonardis, Ales and McDonagh, Steven},
booktitle={British Machine Vision Conference},
year={2022}
}
Runs of huawei-noah aipq on huggingface.co
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More Information About aipq huggingface.co Model
Url of aipq
aipq huggingface.co Url
Provider of aipq huggingface.co
Other API from huawei-noah
Updated:May 20 2021
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