Survey of 3D mesh denoising using geometric and learning methods
Survey of 3D mesh denoising using geometric and learning methods
Geometric and Learning-based Mesh Denoising: A Comprehensive Survey
arXiv paper abstract https://arxiv.org/abs/2209.00841v1
arXiv PDF paper https://arxiv.org/pdf/2209.00841v1.pdf
Mesh denoising is a fundamental problem in digital geometry processing. It seeks to remove surface noise, while preserving surface intrinsic signals as accurately as possible.
While ... traditional ... built upon specialized priors to smooth surfaces, learning-based approaches are ... great success in generalization and automation.
... provide a comprehensive review of the advances in mesh denoising, containing both traditional geometric approaches and recent learning-based methods.
... provide two categorizations of the existing denoising methods.
Furthermore, three important categories, including optimization-, filter-, and data-driven-based techniques, are introduced and analyzed in detail, respectively.
Both qualitative and quantitative comparisons are illustrated, to demonstrate the effectiveness of the state-of-the-art denoising methods ...
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