#Pytorch implementation of "Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization"
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PyTorch 0.4.1 (with Python 3.6.0) implementation of the following paper.
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If you find our work is useful, pleaes cite our paper:
@ARTICLE{Zhu2020Personalized,
author={H. {Zhu} and L. {Li} and J. {Wu} and S. {Zhao} and G. {Ding} and Generic. {Shi}},
journal={IEEE Trans. Cybern.},
title={Personalized Image Aesthetics Assessment via Meta-learning with Bilevel Gradient Optimization},
year={2020},
note={doi:10.1109/TCYB.2020.2984670}
} -
finetune_model_newtask.py for personalized aesthetic model fine-tuning.
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train_meta_model.py for aesthetic prior model training.
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If you want to train the aesthetic prior model, you need download FLICKR-AES and AADB databases.