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231225s2022 xx |||||o 00| ||eng c |
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|a 10.1109/TPAMI.2021.3080586
|2 doi
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|a eng
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| 100 |
1 |
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|a Zhu, Yongjie
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Hybrid Face Reflectance, Illumination, and Shape From a Single Image
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|c 2022
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 08.08.2022
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|a Date Revised 14.09.2022
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a We propose HyFRIS-Net to jointly estimate the hybrid reflectance and illumination models, as well as the refined face shape from a single unconstrained face image in a pre-defined texture space. The proposed hybrid reflectance and illumination representation ensure photometric face appearance modeling in both parametric and non-parametric spaces for efficient learning. While forcing the reflectance consistency constraint for the same person and face identity constraint for different persons, our approach recovers an occlusion-free face albedo with disambiguated color from the illumination color. Our network is trained in a self-evolving manner to achieve general applicability on real-world data. We conduct comprehensive qualitative and quantitative evaluations with state-of-the-art methods to demonstrate the advantages of HyFRIS-Net in modeling photo-realistic face albedo, illumination, and shape
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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| 700 |
1 |
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|a Li, Chen
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Li, Si
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Shi, Boxin
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Tai, Yu-Wing
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 44(2022), 9 vom: 14. Sept., Seite 5002-5015
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|x 1939-3539
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|g year:2022
|g number:9
|g day:14
|g month:09
|g pages:5002-5015
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|u http://dx.doi.org/10.1109/TPAMI.2021.3080586
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