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Point Could Mamba: Point Cloud Learning via State Space Model

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

News

Features

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

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}
}

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MiT

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Point Could Mamba: Point Cloud Learning via State Space Model

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