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Conference Paper

Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz

MPS-Authors
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Tewari,  Ayush
Computer Graphics, MPI for Informatics, Max Planck Society;

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Zollhöfer,  Michael
Computer Graphics, MPI for Informatics, Max Planck Society;

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Garrido,  Pablo
Computer Graphics, MPI for Informatics, Max Planck Society;

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Bernard,  Florian
Computer Graphics, MPI for Informatics, Max Planck Society;

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Kim,  Hyeongwoo
Computer Graphics, MPI for Informatics, Max Planck Society;

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Theobalt,  Christian
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Tewari, A., Zollhöfer, M., Garrido, P., Bernard, F., Kim, H., Pérez, P., et al. (2018). Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 2549-2559). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2018.00270.


Cite as: http://hdl.handle.net/21.11116/0000-0002-EF56-1
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