Abstract: Aiming at the issue of numerous redundant, noisy, and outlier points in the reconstructed point cloud of aero-engine blade surfaces, which significantly affects reconstruction accuracy and ...

Abstract: Self-supervised learning of point cloud aims to leverage unlabeled 3D data to learn meaningful representations without reliance on manual annotations. However, current approaches face ...

We provide a set of example data and a quick-start jupyter notebook tutorial "ppp.ipynb". Make sure that you have sucessufully installed the Python as well as the numpy in your environment. Due to the ...