GO-Surf: Neural Feature Grid Optimization for Fast, High-Fidelity RGB-D Surface Reconstruction-Reference-Cited by-同舟云学术

GO-Surf: Neural Feature Grid Optimization for Fast, High-Fidelity RGB-D Surface Reconstruction

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on 3D Vision (3DV)
language:
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Author:

Wang Jingwen¹,Bleja Tymoteusz¹,Agapito Lourdes¹

Affiliation:

1. University College,Department of Computer Science,London,England

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10044366/10044387/10044463.pdf?arnumber=10044463

Reference41 articles.

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2. Volume rendering of neural implicit surfaces;yariv;Thirty-Fifth Conference on Neural Information Processing Systems,2021

3. Nerf: Representing scenes as neural radiance fields for view synthesis;mildenhall;ECCV,2020

4. RoutedFusion: Learning Real-Time Depth Map Fusion

5. Kinectfusion: Real-time dense surface mapping and tracking;richard;2011 10th IEEE International Symposium on Mixed and Augmented Reality (ISMAR),2011

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