Skeleton Merger

Skeleton Merger, an Unsupervised Aligned Keypoint Detector. The paper is available at https://arxiv.org/abs/2103.10814.

Update Aug. 6th: The point cloud visualizer is now released! See https://github.com/eliphatfs/PointCloudVisualizer.

A map of the repository

• The merger/pointnetpp folder contains the Pytorch Implementation of PointNet and PointNet++ repository with some minor changes. It is adapted to make compatible relative imports.
• The merger/composed_chamfer.py file contains an efficient implementation of proposed Composite Chamfer Distance (CCD).
• The merger/data_flower.py file is for data loading and preprocessing.
• The merger/merger_net.py file contains the Skeleton Merger implementation.
• The root folder contains several scripts for training and testing.

Usage of script files

Usage of the script files, together with a brief description of data format, are available through the -h command line option.

Dataset

The ShapeNetCore.v2 dataset used in the paper is available from the Point Cloud Datasets repository.