Adaptive and Feature-Preserving Mesh Denoising Schemes Based on Developmental Guidance
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DOI: 10.1109/access.2020.3025227
Abstract: Distinguishing among different kinds of features as well as noises on 3D mesh models is crucial for feature-preserving mesh denoising. This paper proposes to address this issue via in-depth analysis of the intermediate products of… read more here.
Keywords: adaptive feature; feature; preserving mesh; feature preserving ... See more keywords
Robust and High Fidelity Mesh Denoising
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DOI: 10.1109/tvcg.2018.2828818
Abstract: This paper presents a simple and effective two-stage mesh denoising algorithm, where in the first stage, face normal filtering is done by using bilateral normal filtering in a robust statistics framework. Tukey's bi-weight function is… read more here.
Keywords: robust high; high fidelity; fidelity mesh; mesh denoising ... See more keywords
Mesh Denoising Based on Recurrent Neural Networks
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DOI: 10.3390/sym14061233
Abstract: Mesh denoising is a classical task in mesh processing. Many state-of-the-art methods are still unable to quickly and robustly denoise multifarious noisy 3D meshes, especially in the case of high noise. Recently, neural network-based models… read more here.
Keywords: network; neural networks; recurrent neural; based recurrent ... See more keywords