mlsanityData to 14 Oct 2026

Arko-T: A Foundation Model for Text-to-Structured 3D Generation

arXiv 2606.30429 ↗First posted 29 Jun 2026cs.LGcited by 0

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Abstract (arXiv)

Text-to-3D systems can now synthesize a model from a single sentence, yet the result is a shape to render, not a design to edit. We present Arko-T, a 4B-parameter text-to-design model that maps natural-language intent directly into executable, parametric CAD programs. Rather than optimizing for code executability alone, Arko-T aligns every stage of the pipeline to a formal notion of design state, so that data curation, code normalization, and execution-grounded supervision all work to preserve the features, parameters, and construction logic that make a CAD artifact editable. Benchmarked against seven frontier LLMs across 12 metrics, Arko-T attains the best score on 8 and the second-best on 3 more, at roughly one-tenth the per-benchmark cost. The results suggest that targeted design-level training at moderate scale can match frontier general-purpose models on structured CAD generation.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 23 of its 33 references that are in the map. First posted on arXiv 29 Jun 2026.

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23 of 33 references.

References · 23

  1. 2023GPT-4 Technical Reportcited by 18,396
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  4. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,025
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  11. 2024BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometrycited by 103
  12. 2020SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Designcited by 72
11 more
  1. 2025CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generationcited by 67
  2. 2024CAD-Recode: Reverse Engineering CAD Code from Point Cloudscited by 66
  3. 2025CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Rewardcited by 56
  4. 2025Text-to-CadQuery: A New Paradigm for CAD Generation with Scalable Large Model Capabilitiescited by 43
  5. 2025CADDreamer: CAD Object Generation from Single-view Imagescited by 25
  6. 2025DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometrycited by 21
  7. 2025From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generationcited by 12
  8. 2026Text2CAD-Bench: A Benchmark for LLM-based Text-to-Parametric CAD Generationcited by 12
  9. 2025ReCAD: Reinforcement Learning Enhanced Parametric CAD Model Generation with Vision-Language Modelscited by 11
  10. 2025Aligning Constraint Generation with Design Intent in Parametric CADcited by 8
  11. 2026CADFS: A Big CAD Program Dataset and Framework for Computer-Aided Design with Large Language Modelscited by 5

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