High-fidelity Facial Reflectance and Geometry Inference from an Unconstrained Image (bibtex)
by Shugo Yamaguchi, Shunsuke Saito, Koki Nagano, Yajie Zhao, Weikai Chen, Kyle Olszewski, Shigeo Morishima, Hao Li
Abstract:
We present a deep learning-based technique to infer high-quality facial reflectance and geometry given a single unconstrained image of the subject, which may contain partial occlusions and arbitrary illumination conditions.
Reference:
High-fidelity Facial Reflectance and Geometry Inference from an Unconstrained Image (Shugo Yamaguchi, Shunsuke Saito, Koki Nagano, Yajie Zhao, Weikai Chen, Kyle Olszewski, Shigeo Morishima, Hao Li), In ACM Trans. Graph., ACM, volume 37, 2018.
Bibtex Entry:
@article{Yamaguchi:2018:HFR:3197517.3201364,
	abstract = {We present a deep learning-based technique to infer high-quality facial reflectance and geometry given a single unconstrained image of the subject, which may contain partial occlusions and arbitrary illumination conditions.},
	author = {Yamaguchi, Shugo and Saito, Shunsuke and Nagano, Koki and Zhao, Yajie and Chen, Weikai and Olszewski, Kyle and Morishima, Shigeo and Li, Hao},
	title = {High-fidelity Facial Reflectance and Geometry Inference from an Unconstrained Image},
	journal = {ACM Trans. Graph.},
	issue_date = {August 2018},
	volume = {37},
	number = {4},
	month = jul,
	year = {2018},
	issn = {0730-0301},
	pages = {162:1--162:14},
	articleno = {162},
	numpages = {14},
	url = {http://doi.acm.org/10.1145/3197517.3201364},
	doi = {10.1145/3197517.3201364},
	acmid = {3201364},
	publisher = {ACM},
	address = {New York, NY, USA},
	keywords = {facial modeling, image-based modeling, texture synthesis and inpainting},
}
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