Neural Novel Actor : Learning a Generalized Animatable Neural Representation for Human Actors
We propose a new method for learning a generalized animatable neural human representation from a sparse set of multi-view imagery of multiple persons. The learned representation can be used to synthesize novel view images of an arbitrary person and further animate them with the user's pose cont...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 8 vom: 16. Aug., Seite 5719-5732
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| 1. Verfasser: |
Gao, Qingzhe
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Yiming,
Liu, Libin,
Liu, Lingjie,
Theobalt, Christian,
Chen, Baoquan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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