IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing

arXiv:2606.13368 · cs.AI, cs.CV · Submitted 2026-06-11 · Read on arXiv

cs.AI, cs.CV

Submitted: 2026-06-11

Updated: 2026-08-31

Code: https://github.com/gumyr/build123d

Terminology

• AUC — 26× in this paper · explained in 2 episodes
• Benchmark — 23× in this paper · explained in 2 episodes
• Fidelity — 15× in this paper · explained in 2 episodes
• Chamfer Distance — 14× in this paper
• Reinforcement Learning — 11× in this paper · explained in 4 episodes
• Computer-Aided Design — 7× in this paper
• Geometry-Viable Prefix Masking — 5× in this paper
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Invalid Ratio — 4× in this paper
• Iterative Refinement — 4× in this paper · explained in 3 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Trace — 4× in this paper · explained in 2 episodes
• ACM Transactions on Graphics — 3× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Point Clouds — 3× in this paper · explained in 2 episodes
• Two-stage training — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Component Object Model — 2× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Action Space — 1× in this paper · explained in 1 episode
• Agentic Reasoning — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Online Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Reward Hacking — 1× in this paper · explained in 8 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Topological Defects — 1× in this paper · explained in 2 episodes
• Two-Stage Optimization — 1× in this paper · explained in 2 episodes
• Two-Stage Training Strategy — 1× in this paper · explained in 3 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Text-to-CadQuery: A New Paradigm for CAD Generation with Scalable Large Model Capabilities
• Clarify Before You Draw: Proactive Agents for Robust Text-to-CAD Generation
• SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks
• CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation
• CME-CAD: Heterogeneous Collaborative Multi-Expert Reinforcement Learning for CAD Code Generation
• cadrille: Multi-modal CAD Reconstruction with Reinforcement Learning
• CADReasoner: Iterative Program Editing for CAD Reverse Engineering
• GIFT: Bootstrapping Image-to-CAD Program Synthesis via Geometric Feedback
• SolidGen: An Autoregressive Model for Direct B-rep Synthesis
• Seek-CAD: A Self-refined Generative Modeling for 3D Parametric CAD Using Local Inference via DeepSeek
• CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
• PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models
• CADDesigner: Conceptual CAD Model Generation with a General-Purpose Agent
• TOOLCAD: Exploring Tool-Using Large Language Models in Text-to-CAD Generation with Reinforcement Learning
• Qwen3-VL Technical Report
• Group Sequence Policy Optimization
• SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement Learning

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