Welcome to pyiqa’s documentation!¶
pyiqa is an image quality assessment toolbox built with Python and PyTorch.
It provides full-reference (FR), no-reference (NR), and task-specific metrics.
Implementations are calibrated against official MATLAB or Python references
where available.
Basic Information¶
API Tools and References¶
Citation¶
If you find our codes helpful to your research, please consider to use the following citation:
@misc{pyiqa,
title={{IQA-PyTorch}: PyTorch Toolbox for Image Quality Assessment},
author={Chaofeng Chen and Jiadi Mo},
year={2022},
howpublished = "[Online]. Available: \url{https://github.com/chaofengc/IQA-PyTorch}"
}
Please also consider to cite our new work TOPIQ if it is useful to you:
@misc{chen2023topiq,
title={TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment},
author={Chaofeng Chen and Jiadi Mo and Jingwen Hou and Haoning Wu and Liang Liao and Wenxiu Sun and Qiong Yan and Weisi Lin},
year={2023},
eprint={2308.03060},
archivePrefix={arXiv},
primaryClass={cs.CV}
}