5 papers
CADBench: A Multimodal Benchmark for AI-Assisted CAD Program Generation
Anna C. Doris, Jacob Thomas Sony, Ghadi Nehme +3
Recovering editable CAD programs from images or 3D observations is central to AI-assisted design, but progress is difficult to measure because existing evaluations are fragmented a…
CADFit: Precise Mesh-to-CAD Program Generation with Hybrid Optimization
Ghadi Nehme, Eamon Whalen, Faez Ahmed
Despite recent progress, recovering parametric CAD construction sequences from geometric input, such as meshes or point clouds, is a key challenge for design and manufacturing, as…
LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
Ghadi Nehme, Yanxia Zhang, Dule Shu +2
Generating high-fidelity 3D geometries under explicit parameter constraints is central to engineering design, yet current methods often require large datasets and fail to provide r…
FLARE: A Data-Efficient Surrogate for Predicting Displacement Fields in Directed Energy Deposition
Kittipong Thiamchaiboonthawee, Ghadi Nehme, Ram Mohan Telikicherla +5
Directed energy deposition (DED) produces complex thermo-mechanical responses that can lead to distortion and reduced dimensional accuracy of a manufactured part. Thermo-mechanical…
VideoCAD: A Dataset and Model for Learning Long-Horizon 3D CAD UI Interactions from Video
Brandon Man, Ghadi Nehme, Md Ferdous Alam +1
Computer-Aided Design (CAD) is a time-consuming and complex process, requiring precise, long-horizon user interactions with intricate 3D interfaces. While recent advances in AI-dri…