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AI agents generate dynamic CAD models and million-scale programs

Researchers have developed new agentic systems for Computer-Aided Design (CAD) that can generate complex 3D assemblies with moving parts, a capability previously lacking in AI-driven design tools. One system, AADvark, incorporates external solvers and visual feedback to reason about dynamic interactions, enabling the creation of functional mechanical components. Concurrently, the Zero-to-CAD framework synthesizes approximately one million executable CAD sequences, providing a large-scale dataset of procedural design information. This synthetic data has been used to train vision-language models that can reconstruct editable CAD programs from images, outperforming existing baselines. AI

IMPACT Advances in agentic CAD systems could accelerate the design and iteration of complex mechanical components and provide valuable synthetic datasets for training future AI models.

RANK_REASON The cluster contains two arXiv papers detailing new research and frameworks for AI-assisted CAD model generation.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

AI agents generate dynamic CAD models and million-scale programs

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The cluster contains two arXiv papers detailing new research and frameworks for AI-assisted CAD model generation.
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COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Mitch Adler, Matthew Russo, Michael Cafarella ·

    Agent-Aided Design for Dynamic CAD Models

    arXiv:2604.15184v2 Announce Type: replace Abstract: In the past year, researchers have created agentic systems that can design real-world CAD-style objects in a training-free setting, a new variety of system that we call Agent-Aided Design. These systems place an agent in a feedb…

  2. arXiv cs.CV TIER_1 English(EN) · Mohammadmehdi Ataei, Farzaneh Askari, Kamal Rahimi Malekshan, Pradeep Kumar Jayaraman ·

    Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale Without Real Data

    arXiv:2604.24479v1 Announce Type: new Abstract: Computer-Aided Design (CAD) models are defined by their construction history: a parametric recipe that encodes design intent. However, existing large-scale 3D datasets predominantly consist of boundary representations (B-Reps) or me…

  3. arXiv cs.CV TIER_1 English(EN) · Pradeep Kumar Jayaraman ·

    Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale Without Real Data

    Computer-Aided Design (CAD) models are defined by their construction history: a parametric recipe that encodes design intent. However, existing large-scale 3D datasets predominantly consist of boundary representations (B-Reps) or meshes, stripping away this critical procedural in…