UPU-SNet: Siamese network for unsupervised point cloud upsampling based on spatial-aware transformers

Author:

Han BingORCID,Deng Lixiang,Zheng Yi,Ren ShuangORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference70 articles.

1. Qi CR, Su H, Kaichun M, Guibas LJ. Pointnet: Deep learning on point sets for 3d classification and segmentation. In: Paper presented at the IEEE conference on computer vision and pattern recognition. 2017.

2. Qi CR, Yi L, Su H, Guibas LJ. Pointnet++: Deep hierarchical feature learning on point sets in a metric space. In: Paper presented at the neural information processing systems. 2017.

3. Deep learning for 3d point clouds: A survey;Guo;IEEE Trans Vis Comput Graphics,2021

4. Yu L, Li X, Fu C-W, Cohen-Or D, Heng P-A. Pu-net: Point cloud upsampling network. In: Paper presented at the IEEE conference on computer vision and pattern recognition. 2018.

5. Wang Y, Wu S, Huang H, Cohen-Or D, Sorkine-Hornung O. Patch-based progressive 3d point set upsampling. In: Paper presented at the IEEE conference on computer vision and pattern recognition. 2019.

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1. Note computers & graphics issue 115;Computers & Graphics;2023-10

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