Point Cloud Upsampling Network Using Spatially Biased Adaptive Graph Convolution-Reference-Cited by-同舟云学术

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Point Cloud Upsampling Network Using Spatially Biased Adaptive Graph Convolution

Published:2023-11-17 Issue: Volume:47 Page:1085-1090
ISSN:
Container-title:2023 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Li Zekai¹,Bai Zhengyao¹,Xiao Xiao¹,Du Jiajin¹,Liu Xuheng¹

Affiliation:

1. School of Information Science and Engineering, Yunnan University,Kunming,China

Funder

Yunnan Provincial Major Science and Technology Special Plan Projects

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451341.pdf?arnumber=10451341

Reference12 articles.

1. Construction of Semantic Mapping in Dynamic Environments;Shao-Hua;Computer Science,2020

2. 3D photorealistic modelling of stone monuments by dense image matching;Cabrelles;International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives,2010

3. Computing and rendering point set surfaces

4. Parameterization-free projection for geometry reconstruction

5. PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks;Guo-Cheng,2021

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