MPR-GAN: A Novel Neural Rendering Framework for MLS Point Cloud with Deep Generative Learning

Efficient point cloud visualization is indispensable for practical applications. In the context of point cloud visualization, 3D rendering can be viewed as the kernel that transforms 3D points into a 2D scene image. Compared with traditional point-based rendering (PBR), neural image-based rendering...

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Bibliographic Details
Published in:	IEEE transactions on geoscience and remote sensing Vol. 60; p. 1
Main Authors:	Xu, Qingyang, Guan, Xuefeng, Cao, Jun, Ma, Yanli, Wu, Huayi
Format:	Journal Article
Language:	English
Published:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	CGAN Coders colorization Context Frameworks Generative adversarial networks Image quality Lasers MLS point cloud neural image-based rendering Rendering Scaling Signal to noise ratio Similarity Three dimensional models transformation Visualization
ISSN:	0196-2892, 1558-0644
Online Access:	Get full text
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