PCDNF: Revisiting Learning-based Point Cloud Denoising via Joint Normal Filtering-Reference-Cited by-同舟云学术

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PCDNF: Revisiting Learning-based Point Cloud Denoising via Joint Normal Filtering

Published:2023 Issue: Volume: Page:1-18
ISSN:1077-2626
Container-title:IEEE Transactions on Visualization and Computer Graphics
language:
Short-container-title:IEEE Trans. Visual. Comput. Graphics

Author:

Liu Zheng¹^ORCID,Zhao Yaowu¹,Zhan Sijing¹,Liu Yuanyuan¹^ORCID,Chen Renjie²^ORCID,He Ying³^ORCID

Affiliation:

1. School of Computer Science, China University of Geosciences (Wuhan), China

2. School of Mathematical Sciences, University of Science and Technology of China, China

3. School of Computer Science and Engineering, Nanyang Technological University, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

http://xplorestaging.ieee.org/ielx7/2945/4359476/10173632.pdf?arnumber=10173632

Cited by 9 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. TPDNet: A point cloud data denoising method for offshore drilling platforms and its application;Measurement;2025-02

2. TCFAP-Net: Transformer-based Cross-feature Fusion and Adaptive Perception Network for large-scale point cloud semantic segmentation;Pattern Recognition;2024-10

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

4. Progressive Growth for Point Cloud Completion by Surface-Projection Optimization;IEEE Transactions on Intelligent Vehicles;2024-05

5. A Small-Scale Image U-Net-Based Color Quality Enhancement for Dense Point Cloud;IEEE Transactions on Consumer Electronics;2024-02

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