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 …
Eigentrajectory: Low-rank descriptors for multi-modal trajectory forecasting
Capturing high-dimensional social interactions and feasible futures is essential for
predicting trajectories. To address this complex nature, several attempts have been devoted …
predicting trajectories. To address this complex nature, several attempts have been devoted …
Deep learning for free-hand sketch: A survey
Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
Blt: Bidirectional layout transformer for controllable layout generation
Creating visual layouts is a critical step in graphic design. Automatic generation of such
layouts is essential for scalable and diverse visual designs. To advance conditional layout …
layouts is essential for scalable and diverse visual designs. To advance conditional layout …
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 …
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 …
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 …
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 …
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 …
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 …