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Point-GCC: Geometry-Color Contrast

PWC
PWC
PWC
PWC

Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast
Guofan Fan, Zekun Qi, Wenkai Shi and Kaisheng Ma

This repository contains the implementation of the paper Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast.

arXiv

Point-GCC

paper

For those interested, we update a pre-release code of the preprint paper. Be careful to use it because lacks code cleanup and may be modified in final version.

News

  • 🎉 July, 2024: Point-GCC is accepted by ACMMM 2024, we will release offical version as soon, please check in homepage.
  • 🔥 Oct, 2023: For those interested, we update a pre-release code of the preprint paper.
  • 💥 Jun, 2023: Check out our previous work Language-Assisted 3D, ACT, and ReCon, which have been accepted by AAAI, ICLR, and ICML 2023 respectively.

Cite

If you find our work helpful for your research. Please consider citing our paper.

@article{point-gcc,
  title={{Point-GCC:} Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast},
  author={Fan, Guofan and Qi, Zekun and Shi, Wenkai and and Ma, Kaisheng},
  journal={arXiv preprint arXiv:2305.19623},
  year={2023}
}

Acknowledgement

Our code is based on MMDetection3D. Thanks for their wonderful work!

License

Point-GCC is released under the MIT License. See the LICENSE file for more details.