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
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
Accès à la collection:IEEE transactions on visualization and computer graphics
Sujets:Journal Article Research Support, Non-U.S. Gov't