activity
20202024
most citedReconstructing editable prismatic CAD from rounded voxel models

33 citations · 74 across the 17 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

cs.CV2021★ 1 cited

UNIST: Unpaired Neural Implicit Shape Translation Network

Qimin Chen, Johannes Merz, Aditya Sanghi +3

We introduce UNIST, the first deep neural implicit model for general-purpose, unpaired shape-to-shape translation, in both 2D and 3D domains. Our model is built on autoencoding imp…

cs.LG2021

JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints

Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu +8

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 alignin…

cs.LG2021

Group-disentangled Representation Learning with Weakly-Supervised Regularization

Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi +1

Learning interpretable and human-controllable representations that uncover factors of variation in data remains an ongoing key challenge in representation learning. We investigate…

cs.CV2021★ 3 cited

CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation

Aditya Sanghi, Hang Chu, Joseph G. Lambourne +4

Generating shapes using natural language can enable new ways of imagining and creating the things around us. While significant recent progress has been made in text-to-image genera…

cs.CV2021

UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps

Peter Meltzer, Hooman Shayani, Amir Khasahmadi +3

Boundary Representations (B-Reps) are the industry standard in 3D Computer Aided Design/Manufacturing (CAD/CAM) and industrial design due to their fidelity in representing stylisti…

cs.CV2021

CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly

Fenggen Yu, Zhiqin Chen, Manyi Li +4

We introduce CAPRI-Net, a neural network for learning compact and interpretable implicit representations of 3D computer-aided design (CAD) models, in the form of adaptive primitive…

cs.LG2021

BRepNet: A topological message passing system for solid models

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

Boundary representation (B-rep) models are the standard way 3D shapes are described in Computer-Aided Design (CAD) applications. They combine lightweight parametric curves and surf…