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[ICCV 2023] PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering

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arXiv License CC BY-NC-SA 4.0

PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering (ICCV 2023)

Overview

We propose an unsupervised point clouds semantic segmentation framework, called PointDC.

drawing

NOTE

There are two projects deployed here. pointdc_mk is based on MinkowskiEngine.

TODO

  • Release code based on Minkowski and model weight files
  • Release code based on SpConv and model weight files
  • Release Spare Feature Volume files

Citation

If this paper is helpful to you, please cite:

@article{chen2023unsupervised,
  title={Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering},
  author={Chen, Zisheng and Xu, Hongbin},
  journal={arXiv preprint arXiv:2304.08965},
  year={2023}
}

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[ICCV 2023] PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering

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