We propose a new tetrahedral meshing method, fTetWild, to convert triangle soups into high-
quality tetrahedral meshes. Our method builds on the TetWild algorithm, replacing the …

Recent work has demonstrated that the interior material layout of a 3D model can be
designed to make a fabricated replica satisfy application-specific demands on its physical …

Computational models of acoustic wave propagation are frequently used in transcranial
ultrasound therapy, for example, to calculate the intracranial pressure field or to calculate …

In order to simulate the cardiac function for a patient‐specific geometry, the generation of the
computational mesh is crucially important. In practice, the input is typically a set of …

The increasing use of unmanned aerial vehicles and micro air vehicles creates a strong
demand for the accurate aerodynamic performance of small-diameters fixed-pitch …

We propose a novel cross-sectional structural analysis technique that efficiently detects
critical stress inside a 3D object. We slice the object into cross-sections and compute stress …

This paper is concerned with a fundamental problem in geometric deep learning that arises
in the construction of convolutional neural networks on surfaces. Due to curvature, the …

We present a system for producing 3D animations using physical objects (ie, puppets) as
input. Puppeteers can load 3D models of familiar rigid objects, including toys, into our …

Understanding how professionals use digital fabrication in production workflows is critical for
future research in digital fabrication technologies. We interviewed thirteen professionals who …

With recent advances in Generative AI, it is becoming easier to automatically manipulate 3D
models. However, current methods tend to apply edits to models globally, which risks …