NerfCap : Human Performance Capture With Dynamic Neural Radiance Fields
This paper addresses the challenge of human performance capture from sparse multi-view or monocular videos. Given a template mesh of the performer, previous methods capture the human motion by non-rigidly registering the template mesh to images with 2D silhouettes or dense photometric alignment. How...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 29(2023), 12 vom: 01. Dez., Seite 5097-5110
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| Auteur principal: |
Wang, Kangkan
(Auteur) |
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| Autres auteurs: |
Peng, Sida,
Zhou, Xiaowei,
Yang, Jian,
Zhang, Guofeng |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article |
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