VR-NeRF: High-Fidelity Virtualized Walkable Spaces-Reference-Cited by-同舟云学术

VR-NeRF: High-Fidelity Virtualized Walkable Spaces

Published:2023-12-10 Issue: Volume: Page:
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Container-title:SIGGRAPH Asia 2023 Conference Papers
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Author:

Xu Linning¹^ORCID,Agrawal Vasu²^ORCID,Laney William²^ORCID,Garcia Tony²^ORCID,Bansal Aayush²^ORCID,Kim Changil²^ORCID,Rota Bulò Samuel³^ORCID,Porzi Lorenzo³^ORCID,Kontschieder Peter³^ORCID,Božič Aljaž³^ORCID,Lin Dahua⁴^ORCID,Zollhöfer Michael²^ORCID,Richardt Christian²^ORCID

Affiliation:

1. The Chinese University of Hong Kong, Hong Kong and Meta, USA

2. Meta, United States of America

3. Meta, Switzerland

4. The Chinese University of Hong Kong, Hong Kong

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610548.3618139

Reference65 articles.

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2. Agisoft LLC. 2023. Metashape 2.0.

3. Samir Aroudj, Steven Lovegrove, Eddy Ilg, Tanner Schmidt, Michael Goesele, and Richard Newcombe. 2022. ERF: Explicit Radiance Field Reconstruction From Scratch. (2022). arXiv:2203.00051.

4. Jonathan T. Barron Ben Mildenhall Matthew Tancik Peter Hedman Ricardo Martin-Brualla and Pratul P. Srinivasan. 2021. Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. In ICCV. https://doi.org/10.1109/ICCV48922.2021.00580

5. Jonathan T. Barron Ben Mildenhall Dor Verbin Pratul P. Srinivasan and Peter Hedman. 2022. Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields. In CVPR. https://doi.org/10.1109/CVPR52688.2022.00539

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