AgenticCADedit: A Stateful, Tool-Mediated Agentic Approach to Multimodal 3D CAD Editing

arXiv:2609.29621 · cs.CV, cs.GR · Submitted 2026-08-28 · Read on arXiv

cs.CV, cs.GR

Submitted: 2026-08-28

Updated: 2026-08-28

Terminology

• Benchmark — 19× in this paper · explained in 2 episodes
• Agentic Loop — 8× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 6× in this paper
• Point Clouds — 6× in this paper · explained in 2 episodes
• ACM Transactions on Graphics — 4× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Foundation Model — 3× in this paper · explained in 3 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Diffusion Model — 2× in this paper · explained in 8 episodes
• In International Conference on Computer Vision — 2× in this paper
• Latent Representation — 2× in this paper · explained in 2 episodes
• Model Context Protocol — 2× in this paper
• Model Context Protocol (MCP) — 2× in this paper · explained in 8 episodes
• 3D Gaussian Splatting — 1× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Agentic AI — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Core — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Gaussian Splatting — 1× in this paper · explained in 4 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Guided attention — 1× in this paper · explained in 2 episodes
• In European Conference on Computer Vision — 1× in this paper
• In International Conference on Machine Learning — 1× in this paper
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• State Management — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes
• Vision-language models — 1× in this paper · explained in 2 episodes

Sources

• neuralCAD-Edit: An Expert Benchmark for Multimodal-Instructed 3D CAD Model Editing
• SolidGen: An Autoregressive Model for Direct B-rep Synthesis
• 3D-LATTE: Latent Space 3D Editing from Textual Instructions
• SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design
• Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
• CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM
• Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale Without Real Data
• MCP4IFC: IFC-Based Building Design Using Large Language Models
• 3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control?
• BIMgent: Towards Autonomous Building Modeling via Computer-use Agents

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