High-fidelity facial reflectance and geometry inference from an unconstrained image
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. The reconstructed high-resolution textures, which are generated in only a fe...
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Published in | ACM transactions on graphics Vol. 37; no. 4; pp. 1 - 14 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York, NY, USA
ACM
30.07.2018
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Subjects | |
Online Access | Get full text |
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