Recent developments in techniques for modeling, digitizing and visualizing 3D shapes has
led to an explosion in the number of available 3D models on the Internet and in domain …

The digital twins concept enhances modeling and simulation through the integration of real-
time data and feedback. This review elucidates the foundational elements of digital twins …

Text-to-image AI are capable of generating novel images for inspiration, but their
applications for 3D design workflows and how designers can build 3D models using AI …

Generating high-quality 3D assets from a given image is highly desirable in various
applications such as AR/VR. Recent advances in single-image 3D generation explore feed …

Abstract 3D shape is a crucial but heavily underutilized cue in today's computer vision
systems, mostly due to the lack of a good generic shape representation. With the recent …

We introduce neural dual contouring (NDC), a new data-driven approach to mesh
reconstruction based on dual contouring (DC). Like traditional DC, it produces exactly one …

A key goal of computer vision is to recover the underlying 3D structure that gives rise to 2D
observations of the world. If endowed with 3D understanding, agents can abstract away from …

Neural implicit fields are quickly emerging as an attractive representation for learning based
techniques. However, adopting them for 3D shape modeling and editing is challenging. We …

Physical products are often complex assemblies combining a multitude of 3D parts modeled
in computer-aided design (CAD) software. CAD designers build up these assemblies by …

This paper describes a benchmark for evaluation of 3D mesh segmentation salgorithms. The
benchmark comprises a data set with 4,300 manually generated segmentations for 380 …