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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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 5501 - 5510
Hlavní autori:	Guo, Haoyu, Peng, Sida, Lin, Haotong, Wang, Qianqian, Zhang, Guofeng, Bao, Hujun, Zhou, Xiaowei
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2022
Predmet:	3D from multi-view and sensors Estimation Geometry Pattern recognition Reconstruction algorithms Robustness Semantics Three-dimensional displays
ISSN:	1063-6919
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