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Conference Paper

gDNA: Towards Generative Detailed Neural Avatars

MPS-Authors
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Chen,  Xu
External Organizations;
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons277639

Yang,  Jinlong
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons75293

Black,  Michael J.       
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons118754

Geiger,  Andreas
External Organizations;
Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

https://doi.org/10.1109/CVPR52688.2022.01978
(Publisher version)

https://doi.org/10.48550/arXiv.2201.04123
(Preprint)

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Citation

Chen, X., Jiang, T., Song, J., Yang, J., Black, M. J., Geiger, A., et al. (2022). gDNA: Towards Generative Detailed Neural Avatars. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) (pp. 204395-20405). Piscataway, NJ: IEEE. doi:10.1109/CVPR52688.2022.01978.


Cite as: https://hdl.handle.net/21.11116/0000-000D-0AA2-1
Abstract
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