maxin-cn / U2AFN

[ESWA 2023] Uncertainty-aware image inpainting with adaptive feedback network.

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Requirements

  • Python 3 (Anaconda is recommended)
  • skimage
  • imageio
  • Pytorch (Pytorch version >= 2.0.0 is recommended)
  • tqdm
  • pandas
  • cv2 (pip install opencv-python)

Train

Please run:

bash scripts/train.sh

Test

Please run:

bash scripts/test.sh

Citation

If you find this work useful for your research, please consider citing it.

@article{ma2023uncertainty,
title={Uncertainty-aware image inpainting with adaptive feedback network},
author={Ma, Xin and Zhou, Xiaoqiang and Huang, Huaibo and Jia, Gengyun and Wang, Yaohui and Chen, Xinyuan and Chen, Cunjian},
journal={Expert Systems with Applications},
pages={121148},
year={2023},
publisher={Elsevier}
}

About

[ESWA 2023] Uncertainty-aware image inpainting with adaptive feedback network.


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