Joinable: Learning bottom-up assembly of parametric cad joints
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 …
in computer-aided design (CAD) software. CAD designers build up these assemblies by …
Learning part-based templates from large collections of 3D shapes
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 …
especially encoding the inter-model similarity and their variations, is of central importance …
Data-driven structural priors for shape completion
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 …
scanning the surface from multiple viewpoints. In this work we focus on reconstructing …
Structure-aware shape processing
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 …
aware shape processing goes beyond local geometry and low level processing to analyze …
The shape variational autoencoder: A deep generative model of part‐segmented 3d objects
C Nash, CKI Williams - Computer Graphics Forum, 2017 - Wiley Online Library
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 …
encoder (ShapeVAE). The ShapeVAE describes a joint distribution over the existence of …
ComplementMe: Weakly-supervised component suggestions for 3D modeling
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 …
designers. However, choosing a component from a large shape repository and aligning it to …
Category-level multi-part multi-joint 3d shape assembly
Shape assembly composes complex shapes geometries by arranging simple part
geometries and has wide applications in autonomous robotic assembly and CAD modeling …
geometries and has wide applications in autonomous robotic assembly and CAD modeling …
Style2Fab: Functionality-Aware Segmentation for Fabricating Personalized 3D Models with Generative AI
F Faruqi, A Katary, T Hasic, A Abdel-Rahman… - Proceedings of the 36th …, 2023 - dl.acm.org
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 …
models. However, current methods tend to apply edits to models globally, which risks …
Coalesce: Component assembly by learning to synthesize connections
We introduce COALESCE, the first data-driven framework for component-based shape
assembly which employs deep learning to synthesize part connections. To handle geometric …
assembly which employs deep learning to synthesize part connections. To handle geometric …
A survey on nonrigid 3d shape analysis
H Laga - Academic Press Library in Signal Processing, Volume …, 2018 - Elsevier
Shape is an important physical property of natural and manmade 3D objects that
characterizes their external appearances. Understanding differences between shapes and …
characterizes their external appearances. Understanding differences between shapes and …