Voting-based patch sequence autoregression network for adaptive point cloud completion-Reference-Cited by-同舟云学术

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Voting-based patch sequence autoregression network for adaptive point cloud completion

Published:2024-02 Issue: Volume:118 Page:111-122
ISSN:0097-8493
Container-title:Computers & Graphics
language:en
Short-container-title:Computers & Graphics

Author:

Wu Hang,Miao Yubin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference67 articles.

1. Semantic segmentation-assisted scene completion for LiDAR point clouds;Yang,2021

2. RfD-Net: Point scene understanding by semantic instance reconstruction;Nie,2021

3. Point scene understanding via disentangled instance mesh reconstruction;Tang,2022

4. Spatial information enhancement network for 3D object detection from point cloud;Li;Pattern Recognit,2022

5. PCN: Point completion network;Yuan,2018

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1. Note computers & graphics issue 118;Computers & Graphics;2024-02

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