activity
20212025
most citedAutoMate: A Dataset and Learning Approach for Automatic Mating of CAD Assemblies

9 citations · 16 across the 8 of their papers we have counts for

collaborators

8 papers

cs.GR2025

View2CAD: Reconstructing View-Centric CAD Models from Single RGB-D Scans

James Noeckel, Benjamin Jones, Adriana Schulz +1

Parametric CAD models, represented as Boundary Representations (B-reps), are foundational to modern design and manufacturing workflows, offering the precision and topological break…

cs.CV2025★ 1 cited

A Solver-Aided Hierarchical Language for LLM-Driven CAD Design

Benjamin T. Jones, Felix Hähnlein, Zihan Zhang +3

Large language models (LLMs) have been enormously successful in solving a wide variety of structured and unstructured generative tasks, but they struggle to generate procedural geo…

cs.GR2024

FabHacks: Transform Everyday Objects into Functional Fixtures

Yuxuan Mei, Benjamin Jones, Dan Cascaval +3

Storage, organizing, and decorating are an important part of home design. While one can buy commercial items for many of these tasks, this can be costly, and re-use is more sustain…

cs.GR2023★ 1 cited

Zero-shot CAD Program Re-Parameterization for Interactive Manipulation

Milin Kodnongbua, Benjamin T. Jones, Maaz Bin Safeer Ahmad +2

Parametric CAD models encode entire families of shapes that should, in principle, be easy for designers to explore. However, in practice, parametric CAD models can be difficult to…

cs.GR2023★ 3 cited

B-rep Matching for Collaborating Across CAD Systems

Benjamin Jones, James Noeckel, Milin Kodnongbua +2

Large Computer-Aided Design (CAD) projects usually require collaboration across many different CAD systems as well as applications that interoperate with them for manufacturing, vi…

cs.CV2022★ 2 cited

Self-Supervised Representation Learning for CAD

Benjamin T. Jones, Michael Hu, Vladimir G. Kim +1

The design of man-made objects is dominated by computer aided design (CAD) tools. Assisting design with data-driven machine learning methods is hampered by lack of labeled data in…

cs.CV2022

Mates2Motion: Learning How Mechanical CAD Assemblies Work

James Noeckel, Benjamin T. Jones, Karl Willis +2

We describe our work on inferring the degrees of freedom between mated parts in mechanical assemblies using deep learning on CAD representations. We train our model using a large d…

cs.CV2021★ 9 cited

AutoMate: A Dataset and Learning Approach for Automatic Mating of CAD Assemblies

Benjamin Jones, Dalton Hildreth, Duowen Chen +3

Assembly modeling is a core task of computer aided design (CAD), comprising around one third of the work in a CAD workflow. Optimizing this process therefore represents a huge oppo…