Beyond 3DMM : Learning to Capture High-Fidelity 3D Face Shape
3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori. However, previous reconstructed 3D faces suffer from degraded visual verisimilitude due to the loss of fine-grained geometry, which is attributed to insufficient ground-truth 3D shapes, unreliable train...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 2 vom: 01. Feb., Seite 1442-1457
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| 1. Verfasser: |
Zhu, Xiangyu
(VerfasserIn) |
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| Weitere Verfasser: |
Yu, Chang,
Huang, Di,
Lei, Zhen,
Wang, Hao,
Li, Stan Z |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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