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PointDC

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

Install / Use

/learn @SCUT-BIP-Lab/PointDC
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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.

<p align="center"> <img src="figs/framework.jpg" alt="drawing" width=800/> </p>

NOTE

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

TODO

  • [x] Release code based on Minkowski and model weight files
  • [ ] Release code based on SpConv and model weight files
  • [x] 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}
}
View on GitHub
GitHub Stars36
CategoryDevelopment
Updated4d ago
Forks3

Languages

Python

Security Score

75/100

Audited on Apr 1, 2026

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