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3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control?
Recent advancements in implicit 3D representations and generative models have markedly propelled the field of 3D object generation forward.
XVoxel-Based Parametric Design Optimization of Feature Models
As such, it can establish a direct mapping between design models and analysis models, which in turn enables automatic updates on simulation results for design modifications, and vice versa -- effectively a closed loop between CAD and CAE.
Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings
In this paper, we revisit the long-standing problem of automatic reconstruction of 3D objects from single line drawings.
Memory-Efficient Modeling and Slicing of Large-Scale Adaptive Lattice Structures
The presented methods have been validated by a series of case studies with large number (up to 100M) of struts to demonstrate its applicability to large-scale lattice structures.
Computational Geometry
