Neural 3D Video Synthesis from Multi-view Video

We propose a novel approach for 3D video synthesis that is able to represent multi-view video recordings of a dynamic real-world scene in a compact, yet expressive representation that enables high-quality view synthesis and motion interpolation. Our approach takes the high quality and compactness of...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 5511 - 5521
Main Authors:	Li, Tianye, Slavcheva, Mira, Zollhoefer, Michael, Green, Simon, Lassner, Christoph, Kim, Changil, Schmidt, Tanner, Lovegrove, Steven, Goesele, Michael, Newcombe, Richard, Lv, Zhaoyang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2022
Subjects:	3D from multi-view and sensors; Image and video synthesis and generation Cameras Dynamics Heuristic algorithms Interpolation Monte Carlo methods Three-dimensional displays Training
ISSN:	1063-6919
Online Access:	Get full text
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