Learning Oracle Attention for High-Fidelity Face Completion

@article{Zhou2020LearningOA,
  title={Learning Oracle Attention for High-Fidelity Face Completion},
  author={Tong Zhou and Changxing Ding and Shaowen Lin and X. Wang and Dacheng Tao},
  journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020},
  pages={7677-7686}
}
  • Tong Zhou, Changxing Ding, +2 authors Dacheng Tao
  • Published 2020
  • Computer Science
  • 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • High-fidelity face completion is a challenging task due to the rich and subtle facial textures involved. What makes it more complicated is the correlations between different facial components, for example, the symmetry in texture and structure between both eyes. While recent works adopted the attention mechanism to learn the contextual relations among elements of the face, they have largely overlooked the disastrous impacts of inaccurate attention scores; in addition, they fail to pay… CONTINUE READING

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