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Deep Photometric Visibility Metric (DPVM)

Code for the paper: Nanyang Ye, Krzysztof Wolski and Rafal K.Mantiuk. Predicting visible image differences under varying display brightness and viewing distance. IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019.

Requirements: Tensorflow 1.10.1

The viewing condition dataset and trained weight can be obtained from https://doi.org/10.17863/CAM.37996

To RUN: python runPhotometric_CNN.py \

All rights reserved. If you find any part of this code useful, please cite the paper.

@inproceedings{photometricnn2019,
    title={Predicting visible image differences under varying display brightness and viewing distance},
    author={N. Ye and K. Wolski and R. K. Mantiuk},
    booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition 2019 (CVPR 2019)}, 
    year={2019}
    keywords={Photometric visibility metric, Deep learning},  
}

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