Neural 3D Scene Reconstruction with the Manhattan-world Assumption

This paper addresses the challenge of reconstructing 3D indoor scenes from multi-view images. Many previous works have shown impressive reconstruction results on textured objects, but they still have difficulty in handling low-textured planar regions, which are common in indoor scenes. An approach t...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 5501 - 5510
Main Authors:	Guo, Haoyu, Peng, Sida, Lin, Haotong, Wang, Qianqian, Zhang, Guofeng, Bao, Hujun, Zhou, Xiaowei
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2022
Subjects:	3D from multi-view and sensors Estimation Geometry Pattern recognition Reconstruction algorithms Robustness Semantics Three-dimensional displays
ISSN:	1063-6919
Online Access:	Get full text
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