1. Liu M, Sheng L, Yang S, Shao J, Hu S-M (2020) Morphing and sampling network for dense point cloud completion. Proc AAAI Conf Artif Intell 34:11596–11603
2. Zhou H, Cao Y, Chu W, Zhu J, Lu T, Tai Y, Wang C (2022) SeedFormer: patch seeds based point cloud completion with upsample transformer. In: European conference on computer vision. Springer, pp 416–432
3. Qi CR, Su H, Mo K, Guibas LJ (2017) PointNet: deep learning on point sets for 3D classification and segmentation. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 652–660
4. Qi CR, Yi L, Su H, Guibas LJ (2017) PointNet++: deep hierarchical feature learning on point sets in a metric space. In: Advances in neural information processing systems, vol 30
5. Behley J, Garbade M, Milioto A, Quenzel J, Behnke S, Stachniss C, Gall J (2019) SemanticKITTI: a dataset for semantic scene understanding of LiDAR sequences. In: Proceedings of the IEEE/CVF international conference on computer vision, pp 9297–9307