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<div align="center"> <h1> <b> Thinking Image Color Aesthetics Assessment: Models, Datasets and Benchmarks </b> </h1> <h4> <b> Shuai He, Anlong Ming, Yaqi Li, Jinyuan Sun, ShunTian Zheng, Huadong Ma

Beijing University of Posts and Telecommunications </b>

</h4> </div>

[国内的小伙伴请看更详细的中文说明]This repo contains the official implementation and the new dataset ICAA17K of the ICCV 2023 paper. [Our refined model of this work]

Largest Color-oriented Dataset: ICAA17K  <a href=""><img width="48" src="https://github.com/woshidandan/Image-Color-Aesthetics-Assessment/assets/15050507/94354c2b-c70e-4d31-bc40-4a2c76d671ff"></a>

ICAA17K dataset

Delegate Transformer  <a href=""><img width="48" src="https://github.com/woshidandan/Image-Color-Aesthetics-Assessment/assets/15050507/94354c2b-c70e-4d31-bc40-4a2c76d671ff"></a>

网络结构

Largest Benchmark of Image Color Aesthetics Assessment  <a href=""><img width="48" src="https://github.com/woshidandan/Image-Color-Aesthetics-Assessment/assets/15050507/94354c2b-c70e-4d31-bc40-4a2c76d671ff"></a>

Environment Installation

How to Run the Code

If you find our work is useful, pleaes cite our paper:

@article{hethinking,
  title={Thinking Image Color Aesthetics Assessment: Models, Datasets and Benchmarks},
  author={He, Shuai and Ming, Anlong and Yaqi, Li and Jinyuan, Sun and ShunTian, Zheng and Huadong, Ma},
  journal={ICCV},
  year={2023},
}

Our other works: