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A framework to build convolutional network for point cloud processing.

FKAConv products

Paper: FKAConv, Feature-Kernel Alignment for Point Cloud Convolution

LightConvPoint is the framework developped and used for FKAConv experiments. The paper is available at arxiv: https://arxiv.org/abs/2004.04462

If you use the FKAConv code or the LightConvPoint framework in your research, please consider citing:

@article{boulch2020lightconvpoint,
  title={{FKAConv: Feature-Kernel Alignment for Point Cloud Convolution}},
  author={Boulch, Alexandre and Puy, Gilles and Marlet, Renaud},
  journal={arXiv preprint arXiv:2004.04462},
  year={2020}
}

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Example

We provide examples classification and segmentation datasets:

  • ModelNet40
  • ShapeNet
  • S3DIS (to be released)
  • Semantic8 (to be released)
  • NPM3D (to be released)

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  • C++ 59.1%
  • Python 40.9%