1. Y. Guo, H. Wang, Q. Hu, H. Liu, L. Liu, M. Bennamoun, Deep learning for 3d point clouds: A survey. IEEE Trans. Pattern Anal. Mach. Intell. 43(12), 4338–4364 (2020)
2. Z. Shi, S. Peng, Y. Xu, A. Geiger, Y. Liao, Y. Shen, Deep generative models on 3d representations: A survey (2022). arXiv preprint arXiv:2210.15663
3. C.R. Qi, H. Su, K. Mo, L.J. Guibas, Pointnet: Deep learning on point sets for 3d classification and segmentation. in Proceedings of the IEEEs conference on computer vision and pattern recognition (IEEE, USA, 2017), pp. 652–660
4. C.R. Qi, L. Yi, H. Su, L.J. Guibas, Pointnet++: Deep hierarchical feature learning on point sets in a metric space. Adv. Neural Inf. Process. Syst. 30 (2017)
5. S. Shi, X. Wang, H. Li, Pointrcnn: 3d object proposal generation and detection from point cloud. in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (IEEE, USA, 2019), pp. 770–779