DreamCAD: Scaling Multi-modal CAD Generation using Differentiable Parametric Surfaces
Computer-Aided Design (CAD) relies on structured and editable geometric representations, yet existing generative methods are constrained by small annotated datasets with explicit design histories or boundary representation (BRep) labels. Meanwhile, millions of unannotated 3D meshes remain untapped, limiting progress in scalable CAD generation. To address this, we propose DreamCAD, a multi-modal generative framework that directly produces editable BReps from point-level supervision, without CAD-specific annotations. DreamCAD represents each BRep as a set of parametric patches (e.g., Bézier surfaces) and uses a differentiable tessellation method to generate meshes. This enables large-scale ...
| Authors | Mohammad Sadil Khan, Muhammad Usama, Rolandos Alexandros Potamias et al. |
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| Primary category | cs.CV |
| Published | 5 March 2026 |
| Last updated at source | 26 July 2026 |
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