Mesoscopic Facial Geometry Inference Using Deep Neural Networks (bibtex)

by Huynh, Loc, Chen, Weikai, Saito, Shunsuke, Xing, Jun, Nagano, Koki, Jones, Andrew, Debevec, Paul and Li, Hao

Abstract:

We present a learning-based approach for synthesizing facial geometry at medium and fine scales from diffusely-lit facial texture maps.

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Reference:

Mesoscopic Facial Geometry Inference Using Deep Neural Networks (Huynh, Loc, Chen, Weikai, Saito, Shunsuke, Xing, Jun, Nagano, Koki, Jones, Andrew, Debevec, Paul and Li, Hao), In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018.

Bibtex Entry:

@inproceedings{huynh2018mesoscopic,
	abstract = {We present a learning-based approach for synthesizing facial geometry at medium and fine scales from diffusely-lit facial texture maps.},
	title = {Mesoscopic Facial Geometry Inference Using Deep Neural Networks},
	url = {http://openaccess.thecvf.com/content_cvpr_2018/papers/Huynh_Mesoscopic_Facial_Geometry_CVPR_2018_paper.pdf},
	author = {Huynh, Loc and Chen, Weikai and Saito, Shunsuke and Xing, Jun and Nagano, Koki and Jones, Andrew and Debevec, Paul and Li, Hao},
	booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
	pages = {8407--8416},
	year = {2018}
	
}