Publisher
Springer Nature Singapore
Reference22 articles.
1. Qi, C.R., Su, H., Mo, K., et al.: PointNet: deep learning on point sets for 3D classification and segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 652–660 (2017)
2. Yuan, W., Khot, T., Held, D., et al.: Pcn: point completion network. In: International Conference on 3D Vision (3DV), pp. 728–737 (2018)
3. Liu, M., Sheng, L., Yang, S., et al.: Morphing and sampling network for dense point cloud completion. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 11596–11603 (2020)
4. Pan, L.: Ecg: edge-aware point cloud completion with graph convolution. In: IEEE Robotics and Automation Letters (2020)
5. Wang, X., Ang, M.H., Jr., Lee, G.H.: Cascaded refinement network for point cloud completion. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 790–799 (2020)