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 …
Hierarchical neural coding for controllable cad model generation
This paper presents a novel generative model for Computer Aided Design (CAD) that 1)
represents high-level design concepts of a CAD model as a three-level hierarchical tree of …
represents high-level design concepts of a CAD model as a three-level hierarchical tree of …
Extracting 3-D structural lines of building from ALS point clouds using graph neural network embedded with corner information
The representation quantifies the geometric shape and topology of a building is a necessary
procedure for many urban planning applications. A sharp line framework is a high-level …
procedure for many urban planning applications. A sharp line framework is a high-level …
Multicad: Contrastive representation learning for multi-modal 3d computer-aided design models
CAD models are multimodal data where information and knowledge contained in
construction sequences and shapes are complementary to each other and representation …
construction sequences and shapes are complementary to each other and representation …
Automatic 3D CAD models reconstruction from 2D orthographic drawings
C Zhang, R Pinquié, A Polette, G Carasi… - Computers & …, 2023 - Elsevier
This paper introduces a two-stage approach that automatically generates 3D CAD models
from 2D orthographic drawings. First, a pattern-matching algorithm is proposed to …
from 2D orthographic drawings. First, a pattern-matching algorithm is proposed to …
CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM
This paper aims to design a unified Computer-Aided Design (CAD) generation system that
can easily generate CAD models based on the user's inputs in the form of textual …
can easily generate CAD models based on the user's inputs in the form of textual …
Draw Step by Step: Reconstructing CAD Construction Sequences from Point Clouds via Multimodal Diffusion.
Reconstructing CAD construction sequences from raw 3D geometry serves as an interface
between real-world objects and digital designs. In this paper we propose CAD-Diffuser a …
between real-world objects and digital designs. In this paper we propose CAD-Diffuser a …
HoW-3D: Holistic 3D wireframe perception from a single image
This paper studies the problem of holistic 3D wireframe perception (HoW-3D), a new task of
perceiving both the visible 3D wireframes and the invisible ones from single-view 2D …
perceiving both the visible 3D wireframes and the invisible ones from single-view 2D …
Geometric Deep Learning for Computer-Aided Design: A Survey
Geometric Deep Learning techniques have become a transformative force in the field of
Computer-Aided Design (CAD), and have the potential to revolutionize how designers and …
Computer-Aided Design (CAD), and have the potential to revolutionize how designers and …
Image2CADSeq: Computer-Aided Design Sequence and Knowledge Inference from Product Images
Computer-aided design (CAD) tools empower designers to design and modify 3D models
through a series of CAD operations, commonly referred to as a CAD sequence. In scenarios …
through a series of CAD operations, commonly referred to as a CAD sequence. In scenarios …