Deepcad: A deep generative network for computer-aided design models

R Wu, C Xiao, C Zheng - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Deep generative models of 3D shapes have received a great deal of research interest. Yet,
almost all of them generate discrete shape representations, such as voxels, point clouds …

Free2cad: Parsing freehand drawings into cad commands

C Li, H Pan, A Bousseau, NJ Mitra - ACM Transactions on Graphics …, 2022 - dl.acm.org
CAD modeling, despite being the industry-standard, remains restricted to usage by skilled
practitioners due to two key barriers. First, the user must be able to mentally parse a final …

Joinable: Learning bottom-up assembly of parametric cad joints

KDD Willis, PK Jayaraman, H Chu… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 …

Complexgen: Cad reconstruction by b-rep chain complex generation

H Guo, S Liu, H Pan, Y Liu, X Tong, B Guo - ACM Transactions on …, 2022 - dl.acm.org
We view the reconstruction of CAD models in the boundary representation (B-Rep) as the
detection of geometric primitives of different orders, ie, vertices, edges and surface patches …

Point2cyl: Reverse engineering 3d objects from point clouds to extrusion cylinders

MA Uy, YY Chang, M Sung, P Goel… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract We propose Point2Cyl, a supervised network transforming a raw 3D point cloud to a
set of extrusion cylinders. Reverse engineering from a raw geometry to a CAD model is an …

Brepgen: A b-rep generative diffusion model with structured latent geometry

X Xu, J Lambourne, P Jayaraman, Z Wang… - ACM Transactions on …, 2024 - dl.acm.org
This paper presents BrepGen, a diffusion-based generative approach that directly outputs a
Boundary representation (B-rep) Computer-Aided Design (CAD) model. BrepGen …

Secad-net: Self-supervised cad reconstruction by learning sketch-extrude operations

P Li, J Guo, X Zhang, DM Yan - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Reverse engineering CAD models from raw geometry is a classic but strenuous research
problem. Previous learning-based methods rely heavily on labels due to the supervised …

Sketchgen: Generating constrained cad sketches

W Para, S Bhat, P Guerrero, T Kelly… - Advances in …, 2021 - proceedings.neurips.cc
Computer-aided design (CAD) is the most widely used modeling approach for technical
design. The typical starting point in these designs is 2D sketches which can later be …

Skexgen: Autoregressive generation of cad construction sequences with disentangled codebooks

X Xu, KDD Willis, JG Lambourne, CY Cheng… - arXiv preprint arXiv …, 2022 - arxiv.org
We present SkexGen, a novel autoregressive generative model for computer-aided design
(CAD) construction sequences containing sketch-and-extrude modeling operations. Our …

Improving unsupervised visual program inference with code rewriting families

A Ganeshan, RK Jones… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Programs offer compactness and structure that makes them an attractive representation for
visual data. We explore how code rewriting can be used to improve systems for inferring …