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|a 10.1109/TVCG.2021.3051251
|2 doi
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|a eng
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| 100 |
1 |
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|a Deng, Qixin
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Plausible 3D Face Wrinkle Generation Using Variational Autoencoders
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| 264 |
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|c 2022
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| 336 |
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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 Revised 01.08.2022
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Realistic 3D facial modeling and animation have been increasingly used in many graphics, animation, and virtual reality applications. However, generating realistic fine-scale wrinkles on 3D faces, in particular, on animated 3D faces, is still a challenging problem that is far away from being resolved. In this article we propose an end-to-end system to automatically augment coarse-scale 3D faces with synthesized fine-scale geometric wrinkles. By formulating the wrinkle generation problem as a supervised generation task, we implicitly model the continuous space of face wrinkles via a compact generative model, such that plausible face wrinkles can be generated through effective sampling and interpolation in the space. We also introduce a complete pipeline to transfer the synthesized wrinkles between faces with different shapes and topologies. Through many experiments, we demonstrate our method can robustly synthesize plausible fine-scale wrinkles on a variety of coarse-scale 3D faces with different shapes and expressions
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| 650 |
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|a Journal Article
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| 700 |
1 |
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|a Ma, Luming
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Jin, Aobo
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Bi, Huikun
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Le, Binh Huy
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Deng, Zhigang
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 28(2022), 9 vom: 13. Sept., Seite 3113-3125
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|x 1941-0506
|7 nnns
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|g volume:28
|g year:2022
|g number:9
|g day:13
|g month:09
|g pages:3113-3125
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| 856 |
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|u http://dx.doi.org/10.1109/TVCG.2021.3051251
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