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Research questionHow can teams build and evaluate CAD models that match design intent?A CAD program can run successfully while leaving out a detail or placing a part incorrectly. Building useful models requires checking the resulting design as well as the code.
AI
Code Generation & Program Synthesis
Computer Vision
Diffusion Models
Evaluation & Benchmarks
Multimodal Models
Research Paper
Technology
Latest papersRecent research connected to this question, newest first.VisCAD: A Foundation Model Suite with Multimodal Industrial CAD IntelligenceThe source presents a part-generation model and an assembly-generation harness, with evidence from PubCADBench, RealCADBench, and assembly evaluations. Its contribution is demonstrated only for the evaluated CAD languages, inputs, tasks, and experimental settings.research paper · Sep 4, 2026RealCADBench: Benchmarking Parametric CAD Modeling from Industrial Design IntentsThe source contributes a benchmark of industrial part and assembly tasks using text, drawings, photographs, and rendered images. It evaluates generated FreeCAD Python in a shared runtime with executability, geometric overlap, visual-semantic identity, and assembly-placement evidence; its conclusions are limited to those tasks and settings.research paper · Sep 4, 2026CADKnitter: Compositional CAD Generation from Text and Geometry GuidanceThe source presents CADKnitter, a diffusion-based framework for generating a complementary CAD part using geometric guidance alongside text. It also describes KnitCAD, a dataset of more than 310,000 CAD models with textual prompts and assembly metadata, and reports experiments against existing baselines.research paper · Sep 1, 2026
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