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Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling

  • Published:2022-06 Issue: Volume: Page:
  • ISSN:
  • Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • language:
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Author:

Feng Wanquan1,Li Jin2,Cai Hongrui1,Luo Xiaonan2,Zhang Juyong1

Affiliation:

1. University of Science and Technology of China

2. Guilin University Of Electronic Technology

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association CAS

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Cited by 33 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. DAUP: Enhancing point cloud homogeneity for 3D industrial anomaly detection via density-aware point cloud upsampling;Advanced Engineering Informatics;2024-10

2. NeRF-OR: neural radiance fields for operating room scene reconstruction from sparse-view RGB-D videos;International Journal of Computer Assisted Radiology and Surgery;2024-09-13

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

4. Consistent Point Orientation for Manifold Surfaces via Boundary Integration;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

5. PU-Mask: 3D Point Cloud Upsampling via an Implicit Virtual Mask;IEEE Transactions on Circuits and Systems for Video Technology;2024-07
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