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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 …
SceneScript: Reconstructing Scenes with an Autoregressive Structured Language Model
We introduce SceneScript, a method that directly produces full scene models as a sequence
of structured language commands using an autoregressive, token-based approach. Our …
of structured language commands using an autoregressive, token-based approach. Our …
Deep learning methods of cross-modal tasks for conceptual design of product shapes: A review
Conceptual design is the foundational stage of a design process that translates ill-defined
design problems into low-fidelity design concepts and prototypes through design search …
design problems into low-fidelity design concepts and prototypes through design search …
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 …
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 …
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 …
Computer-aided design as language
Abstract Computer-Aided Design (CAD) applications are used in manufacturing to model
everything from coffee mugs to sports cars. These programs are complex and require years …
everything from coffee mugs to sports cars. These programs are complex and require years …
Neurosymbolic models for computer graphics
Procedural models (ie symbolic programs that output visual data) are a historically‐popular
method for representing graphics content: vegetation, buildings, textures, etc. They offer …
method for representing graphics content: vegetation, buildings, textures, etc. They offer …
Extrudenet: Unsupervised inverse sketch-and-extrude for shape parsing
Sketch-and-extrude is a common and intuitive modeling process in computer aided design.
This paper studies the problem of learning the shape given in the form of point clouds by …
This paper studies the problem of learning the shape given in the form of point clouds by …
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 …