Deepcad: A deep generative network for computer-aided design models
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 …
almost all of them generate discrete shape representations, such as voxels, point clouds …
Free2cad: Parsing freehand drawings into cad commands
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 …
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
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 …
Complexgen: Cad reconstruction by b-rep chain complex generation
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 …
detection of geometric primitives of different orders, ie, vertices, edges and surface patches …
Point2cyl: Reverse engineering 3d objects from point clouds to extrusion cylinders
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 …
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
This paper presents BrepGen, a diffusion-based generative approach that directly outputs a
Boundary representation (B-rep) Computer-Aided Design (CAD) model. BrepGen …
Boundary representation (B-rep) Computer-Aided Design (CAD) model. BrepGen …
Secad-net: Self-supervised cad reconstruction by learning sketch-extrude operations
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 …
problem. Previous learning-based methods rely heavily on labels due to the supervised …
Sketchgen: Generating constrained cad sketches
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 …
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
We present SkexGen, a novel autoregressive generative model for computer-aided design
(CAD) construction sequences containing sketch-and-extrude modeling operations. Our …
(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 …
visual data. We explore how code rewriting can be used to improve systems for inferring …