guochengqian/PU-GCN: The official implementation of PU-GCN https://sites.google.com/kaust.edu.sa/pugcn

Type
Software
Authors
Qian, Guocheng cc
Abualshour, Abdulellah
Li, Guohao
Thabet, Ali Kassem cc
Ghanem, Bernard cc
KAUST Department
Computer Science
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Electrical and Computer Engineering Program
Physical Science and Engineering (PSE) Division
VCC Analytics Research Group
Visual Computing Center (VCC)
Date
2019-11-19
Permanent link to this record
http://hdl.handle.net/10754/668102

Metadata
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Abstract
The official implementation of PU-GCN https://sites.google.com/kaust.edu.sa/pugcn
Publisher
Github
Additional Links
https://github.com/guochengqian/PU-GCN
Relations
Is Supplement To:
  • [Preprint]
    Title: PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks. Publication Date: 2019-11-30. Handle: 10754/660725 arXiv: 1912.03264
  • [Conference Paper]
    Qian, G., Abualshour, A., Li, G., Thabet, A., & Ghanem, B. (2021). PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr46437.2021.01151 . DOI: 10.1109/CVPR46437.2021.01151 Handle: 10754/660725
Collections
Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Visual Computing Center (VCC); Software; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division