Mesh Defiltering via Cascaded Geometry Recovery-Reference-Cited by-同舟云学术

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Mesh Defiltering via Cascaded Geometry Recovery

Published:2019-10 Issue:7 Volume:38 Page:591-605
ISSN:0167-7055
Container-title:Computer Graphics Forum
language:en
Short-container-title:Computer Graphics Forum

Author:

Wei M.¹,Guo X.¹,Huang J.¹,Xie H.²,Zong H.³,Kwan R.⁴,Wang F. L.⁴,Qin J.⁵

Affiliation:

1. Nanjing University of Aeronautics and Astronautics Nanjing China

2. The Education University of Hong Kong Hong Kong China

3. National Key Laboratory of Science and Technology, Aerospace Intelligent Control Beijing China

4. The Open Univeristy of Hong Kong Hong Kong China

5. The Hong Kong Polytechnic University Hong Kong China

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.13863

Reference84 articles.

1. High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications

2. On Linear Variational Surface Deformation Methods

3. BurgerH. C. SchulerC. J. HarmelingS.: Image denoising: Can plain neural networks compete with bm3d? In2012 IEEE Conference on Computer Vision and Pattern Recognition Providence RI USA June 16–21 2012 (2012) pp.2392–2399.

4. Anisotropic diffusion of surfaces and functions on surfaces

5. ClarenzU. DiewaldU. RumpfM.: Anisotropic geometric diffusion in surface processing. InIEEE Visualization(2000) pp.397–405.

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1. Curvature‐driven Multi‐stream Network for Feature‐preserving Mesh Denoising;Computer Graphics Forum;2023-11-23

2. Geometric and Learning-Based Mesh Denoising: A Comprehensive Survey;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-11-10

3. Adaptive and propagated mesh filtering;Computer-Aided Design;2023-01

4. Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-01-01

5. DMD-Net: Deep Mesh Denoising Network;2022 26th International Conference on Pattern Recognition (ICPR);2022-08-21

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