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Learning A Personalized Generative Prior For Face Images

Published:25 July 2022Publication History

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References

  1. Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila. 2020. Analyzing and improving the image quality of StyleGAN. In Proc. CVPR. 8110–8119.Google ScholarGoogle ScholarCross RefCross Ref
  2. Daniel Roich, Ron Mokady, Amit H Bermano, and Daniel Cohen-Or. 2021. Pivotal Tuning for Latent-based Editing of Real Images. arXiv preprint arXiv:2106.05744(2021).Google ScholarGoogle Scholar
  3. Tao Yang, Peiran Ren, Xuansong Xie, and Lei Zhang. 2021. GAN Prior Embedded Network for Blind Face Restoration in the Wild. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 672–681.Google ScholarGoogle ScholarCross RefCross Ref
  4. Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, and Song Han. 2020. Differentiable augmentation for data-efficient gan training. arXiv preprint arXiv:2006.10738(2020).Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Conferences
    SIGGRAPH '22: ACM SIGGRAPH 2022 Posters
    July 2022
    132 pages
    ISBN:9781450393614
    DOI:10.1145/3532719

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    Publication History

    • Published: 25 July 2022

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