Triangle meshes are used in many important shape-related applications including geometric
modeling, animation production, system simulation, and visualization. However, these …

The joint bilateral filter is a variant of the standard bilateral filter, where the range kernel is
evaluated using a guidance signal instead of the original signal. It has been successfully …

In this article, we present GCN-Denoiser, a novel feature-preserving mesh denoising
method based on graph convolutional networks (GCNs). Unlike previous learning-based …

Mesh denoising is a classical, yet not well-solved problem in digital geometry processing.
The challenge arises from noise removal with the minimal disturbance of surface intrinsic …

Most mesh denoising techniques utilize only either the facet normal field or the vertex
normal field of a mesh surface. The two normal fields, though contain some redundant …

In recent years researchers have made noticeable progresses in mesh denoising, that is,
recovering high-quality 3D models from meshes corrupted with noise (raw or synthetic) …

Mesh denoising is imperative for improving imperfect surfaces acquired by scanning
devices. The main challenge is to faithfully retain geometric features and avoid introducing …

Recent studies have shown that the Total Generalized Variation (TGV) is highly effective in
preserving sharp features as well as smooth transition variations for image processing tasks …

Depth cameras and 3D scanners significantly simplify the procedure of geometric modeling.
3D surfaces have become more widespread, leading to a great demand for noise removal …

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 …