CNN-Based Real-Time Dense Face Reconstruction with Inverse-Rendered Photo-Realistic Face Images

Yudong Guo University of Science and Technology of China Juyong Zhang University of Science and Technology of China Jianfei Cai Nanyang Technological University Boyi Jiang University of Science and Technology of China Jianmin Zheng Nanyang Technological University

Geometric Modeling and Processing mathscidoc:1909.16003

Distinguished Paper Award in 2020

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 41, (6), 2019.6
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3D face reconstruction, face tracking, face performance capturing, 3D face dataset, image synthesis, deep learning
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@inproceedings{yudong2019cnn-based,
  title={CNN-Based Real-Time Dense Face Reconstruction with Inverse-Rendered Photo-Realistic Face Images},
  author={Yudong Guo, Juyong Zhang, Jianfei Cai, Boyi Jiang, and Jianmin Zheng},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20190908233145164799491},
  booktitle={IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE},
  volume={41},
  number={6},
  year={2019},
}
Yudong Guo, Juyong Zhang, Jianfei Cai, Boyi Jiang, and Jianmin Zheng. CNN-Based Real-Time Dense Face Reconstruction with Inverse-Rendered Photo-Realistic Face Images. 2019. Vol. 41. In IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20190908233145164799491.
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