Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction

Author:

Sharma Rajat1,Schwandt Tobias1,Kunert Christian1,Urban Steffen2,Broll Wolfgang1

Affiliation:

1. Ilmenau University of Technology, Virtual Worlds and Digital Games Group, Ehrenbergstraße 29, Ilmenau, Germany, --- Select a Country ---

2. Carl Zeiss AG, Corporate Research and Technology, Carl-Zeiss-Promenade 10, Jena, Germany, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

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. Bilevel Fusion With Local and Global Cues for Point Cloud Upsampling;IEEE Transactions on Industrial Informatics;2024

2. NSANet: Noise-Seeking Attention Network;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

3. Research on Point Cloud Upsampling Algorithms Based on Deep Learning;Journal of Image and Signal Processing;2023

4. Prosformer: Accurate Surface Reconstruction for Sparse Profilometer Measurement with Transformer;2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD);2022-11-30

5. PC 2 -PU: Patch Correlation and Point Correlation for Effective Point Cloud Upsampling;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10

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