guochengqian/PU-GCN: The official implementation of PU-GCN https://sites.google.com/kaust.edu.sa/pugcn
Type
SoftwareKAUST Department
Computer ScienceComputer, 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
2019-11-19Permanent link to this record
http://hdl.handle.net/10754/668102
Metadata
Show full item recordAbstract
The official implementation of PU-GCN https://sites.google.com/kaust.edu.sa/pugcnPublisher
GithubAdditional Links
https://github.com/guochengqian/PU-GCNRelations
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