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Face Synthesis

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    Controllable and Guided Face Synthesis for Unconstrained Face Recognition

    Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu

    Although significant advances have been made in face recognition (FR), FR in unconstrained environments remains challenging due to the domain gap between the semi-constrained training datasets and unconstrained testing scenarios. To address this problem, we propose a controllable face synthesis model (CFSM) that can mimic the distribution of target datasets ...

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    Keywords: Face Recognition, Face Synthesis

2022

  • Controllable and Guided Face Synthesis for Unconstrained Face Recognition
    Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu
    In Proceeding of European Conference on Computer Vision (ECCV 2022), Tel-Aviv, Israel, Oct. 2022
    Bibtex | PDF | arXiv | Supplemental | Project Webpage | Code
  • @inproceedings{ controllable-and-guided-face-synthesis-for-unconstrained-face-recognition,
      author = { Feng Liu and Minchul Kim and Anil Jain and Xiaoming Liu },
      title = { Controllable and Guided Face Synthesis for Unconstrained Face Recognition },
      booktitle = { In Proceeding of European Conference on Computer Vision },
      address = { Tel-Aviv, Israel },
      month = { October },
      year = { 2022 },
    }