Photorealistic facial texture inference using deep neural networks (bibtex)
by Shunsuke Saito, Lingyu Wei, Liwen Hu, Koki Nagano, Hao Li
Abstract:
We present a data-driven inference method that can synthesize a photorealistic texture map of a complete 3D face model given a partial 2D view of a person in the wild.
Reference:
Photorealistic facial texture inference using deep neural networks (Shunsuke Saito, Lingyu Wei, Liwen Hu, Koki Nagano, Hao Li), In IEEE Conference on Computer Vision and Pattern Recognition, CVPR, volume 3, 2017.
Bibtex Entry:
@inproceedings{saito2017photorealistic,
	title={Photorealistic facial texture inference using deep neural networks},
	author={Saito, Shunsuke and Wei, Lingyu and Hu, Liwen and Nagano, Koki and Li, Hao},
	booktitle={IEEE Conference on Computer Vision and Pattern Recognition, CVPR},
	volume={3},
	year={2017},
	abstract = {We present a data-driven inference method that can synthesize a photorealistic texture map of a complete 3D face model given a partial 2D view of a person in the wild.}

}
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