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 …

As large repositories of 3D shape collections continue to grow, understanding the data,
especially encoding the inter-model similarity and their variations, is of central importance …

Acquiring 3D geometry of an object is a tedious and time-consuming task, typically requiring
scanning the surface from multiple viewpoints. In this work we focus on reconstructing …

Shape structure is about the arrangement and relations between shape parts. Structure-
aware shape processing goes beyond local geometry and low level processing to analyze …

We introduce a generative model of part‐segmented 3D objects: the shape variational auto‐
encoder (ShapeVAE). The ShapeVAE describes a joint distribution over the existence of …

Assembly-based tools provide a powerful modeling paradigm for non-expert shape
designers. However, choosing a component from a large shape repository and aligning it to …

Shape assembly composes complex shapes geometries by arranging simple part
geometries and has wide applications in autonomous robotic assembly and CAD modeling …

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 …

We introduce COALESCE, the first data-driven framework for component-based shape
assembly which employs deep learning to synthesize part connections. To handle geometric …

Shape is an important physical property of natural and manmade 3D objects that
characterizes their external appearances. Understanding differences between shapes and …