This survey reviews the recent advances in linear variational mesh deformation techniques.
These methods were developed for editing detailed high-resolution meshes like those …

Modeling tasks, such as surface deformation and editing, can be analyzed by observing the
local behavior of the surface. We argue that defining a modeling operation by asking for …

Surface editing operations commonly require geometric details of the surface to be
preserved as much as possible. We argue that geometric detail is an intrinsic property of a …

Inverse reconstruction from images is a central problem in many scientific and engineering
disciplines. Recent progress on differentiable rendering has led to methods that can …

Most existing geometry processing algorithms use meshes as the default shape
representation. Manipulating meshes, however, requires one to maintain high quality in the …

Details in mesh animations are difficult to generate but they have great impact on visual
quality. In this work, we demonstrate a practical software system for capturing such details …

Abstract We present Neural Shape Deformation Priors, a novel method for shape
manipulation that predicts mesh deformations of non-rigid objects from user-provided …

We describe a discrete Laplacian suitable for any triangle mesh, including those that are
nonmanifold or nonorientable (with or without boundary). Our Laplacian is a robust drop‐in …

We introduce a framework for triangle shape optimization and feature preserving smoothing
of triangular meshes that is guided by the vertex Laplacians, specifically, the uniformly …

Objectives: This study aims to explore and discuss recent advancements in tooth
reconstruction utilizing deep learning (DL) techniques. A review on new DL methodologies …