Block-NeRF: Scalable Large Scene Neural View Synthesis

We present Block-NeRF, a variant of Neural Radiance Fields that can represent large-scale environments. Specifically, we demonstrate that when scaling NeRF to render city-scale scenes spanning multiple blocks, it is vital to de-compose the scene into individually trained NeRFs. This decomposition de...

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Bibliographische Detailangaben

Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 8238 - 8248
Hauptverfasser:	Tancik, Matthew, Casser, Vincent, Yan, Xinchen, Pradhan, Sabeek, Mildenhall, Ben P., Srinivasan, Pratul, Barron, Jonathan T., Kretzschmar, Henrik
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2022
Schlagworte:	3D from multi-view and sensors; Photogrammetry and remote sensing; Vision applications and systems Buildings Computer architecture Computer vision Image reconstruction Pattern recognition Rendering (computer graphics) Transient analysis
ISSN:	1063-6919
Online-Zugang:	Volltext
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