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...
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Détails bibliographiques
Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 8 vom: 16. Aug., Seite 5719-5732
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Auteur principal: |
Gao, Qingzhe
(Auteur) |
Autres auteurs: |
Wang, Yiming,
Liu, Libin,
Liu, Lingjie,
Theobalt, Christian,
Chen, Baoquan |
Format: | Article en ligne
|
Langue: | English |
Publié: |
2024
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Accès à la collection: | IEEE transactions on visualization and computer graphics
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Sujets: | Journal Article
Research Support, Non-U.S. Gov't |