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20202024
most citedAssemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly

69 citations · 173 across the 15 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.RO2022★ 69 cited

Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly

Yunsheng Tian, Jie Xu, Yichen Li +5

Assembly planning is the core of automating product assembly, maintenance, and recycling for modern industrial manufacturing. Despite its importance and long history of research, p…

cs.CV2022★ 2 cited

CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language

Aditya Sanghi, Rao Fu, Vivian Liu +5

Recent works have demonstrated that natural language can be used to generate and edit 3D shapes. However, these methods generate shapes with limited fidelity and diversity. We intr…

cs.CV2022★ 33 cited

Reconstructing editable prismatic CAD from rounded voxel models

Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman +3

Reverse Engineering a CAD shape from other representations is an important geometric processing step for many downstream applications. In this work, we introduce a novel neural net…

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.AI2022

SimCURL: Simple Contrastive User Representation Learning from Command Sequences

Hang Chu, Amir Hosein Khasahmadi, Karl D. D. Willis +5

User modeling is crucial to understanding user behavior and essential for improving user experience and personalized recommendations. When users interact with software, vast amount…

cs.CV2022★ 13 cited

SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks

Xiang Xu, Karl D. D. Willis, Joseph G. Lambourne +3

We present SkexGen, a novel autoregressive generative model for computer-aided design (CAD) construction sequences containing sketch-and-extrude modeling operations. Our model util…

cs.LG2022★ 20 cited

SolidGen: An Autoregressive Model for Direct B-rep Synthesis

Pradeep Kumar Jayaraman, Joseph G. Lambourne, Nishkrit Desai +3

The Boundary representation (B-rep) format is the de-facto shape representation in computer-aided design (CAD) to model solid and sheet objects. Recent approaches to generating CAD…