zhangych02 25027f3729 | 1 year ago | |
---|---|---|
src | 2 years ago | |
torch | 2 years ago | |
LICENSE | 1 year ago | |
PUGAN.pdf | 2 years ago | |
README.md | 1 year ago | |
logo.png | 1 year ago | |
performance.jpg | 1 year ago | |
pugan algorithm analysis.docx | 2 years ago |
PU-GAN is a point cloud upsampling algorithm collected into our open source algorithm library of point cloud. The official code is tested under TF1.11 and Python 3.6 on Ubuntu 16.04, which is stored in folder './src'. In this project, we expande the PyTorch version of PU-GAN on python 3.6 and PyTorch 1.12, which is in folder './torch'.
please refer to "pugan algorithm analysis.doc"
please refer to README.md in each version.
We compare the algorithm performance of different frameworks under tensorflow and pytorch respectively. Because the test data is not provided in source project, we choose two point cloud objects from 3PU and only calculate pdf values duing to the lack of ground truth.
name: Zhang Yongchi
email: zhangych02@pcl.ac.cn
No Description
Text Makefile C++ Python C other
MIT
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》