/PointCloudMamba

Point Cloud Mamba: Point Cloud Learning via State Space Model

Primary LanguagePython

Point Cloud Mamba: Point Cloud Learning via State Space Model

Tao Zhang, Xiangtai Li*, Haobo Yuan, Shunping Ji, Shuicheng Yan

News

  • All codes and weights are available.

Features

  • PCM introduces Mamba to point cloud analysis.
  • PCM can perform global modeling while maintaining linear computational complexity.
  • PCM outperforms PointNeXt on the ScanObjectNN, ModelNet40, and ShapeNetPart datasets.

Install

See Installation Instructions.

Getting Started

See Preparing Datasets for PCM.

See Getting Started with PCM.

Demos

ShapeNetPart

Performance

3-D Point Cloud Classification

3-D Point Cloud Segmentation

@article{zhang2024point,
  title={Point Cloud Mamba: Point Cloud Learning via State Space Model},
  author={Zhang, Tao and Li, Xiangtai and Yuan, Haobo and Ji, Shunping and Yan, Shuicheng},
  journal={arXiv preprint arXiv:2403.00762},
  year={2024}
}

Acknowledgement

This repo is based on PointNeXt, PointMLP, Mamba, Vim, and Pontcept. Thanks for their excellent works.