Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering-Reference-Cited by-同舟云学术

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Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering

Published:2020 Issue: Volume:29 Page:3183-3198
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Chen Siheng^ORCID,Duan Chaojing,Yang Yaoqing^ORCID,Li Duanshun,Feng Chen,Tian Dong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8835130/08931245.pdf?arnumber=8931245

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EGCT: enhanced graph convolutional transformer for 3D point cloud representation learning;The Visual Computer;2024-08-23

2. RE-PU: A Self-Supervised Arbitrary-Scale Point Cloud Upsampling Method Based on Reconstruction;Applied Sciences;2024-08-05

3. Point Cloud Geometry Compression using Parameterized Graph Fourier Transform;Proceedings of the SIGCOMM Workshop on Emerging Multimedia Systems;2024-08-04

4. Graph Neural Networks in Point Clouds: A Survey;Remote Sensing;2024-07-09

5. PathNet: Path-Selective Point Cloud Denoising;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-06

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