mlsanityData to 7 Oct 2026

3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control?

arXiv 2401.06437 ↗First posted 12 Jan 2024cs.GR cs.AI cs.CLcited by 21

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Abstract (arXiv)

Recent advancements in implicit 3D representations and generative models have markedly propelled the field of 3D object generation forward. However, it remains a significant challenge to accurately model geometries with defined sharp features under parametric controls, which is crucial in fields like industrial design and manufacturing. To bridge this gap, we introduce a framework that employs Large Language Models (LLMs) to generate text-driven 3D shapes, manipulating 3D software via program synthesis. We present 3D-PreMise, a dataset specifically tailored for 3D parametric modeling of industrial shapes, designed to explore state-of-the-art LLMs within our proposed pipeline. Our work reveals effective generation strategies and delves into the self-correction capabilities of LLMs using a visual interface. Our work highlights both the potential and limitations of LLMs in 3D parametric modeling for industrial applications.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). Builds on 21 of its 23 references that are in the map. First posted on arXiv 12 Jan 2024.

Builds on

21 of 23 references.

References · 21

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  2. 2023GPT-4 Technical Reportcited by 18,132
  3. 2021Evaluating Large Language Models Trained on Codecited by 8,053
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  5. 2021Program Synthesis with Large Language Modelscited by 3,509
  6. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  7. 2023Code Llama: Open Foundation Models for Codecited by 2,105
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  9. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 1,207
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  11. 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 837
  12. 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creationcited by 684
9 more
  1. 2023Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Modelscited by 551
  2. 2023Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Modelcited by 376
  3. 2023CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-Xcited by 294
  4. 2022CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelscited by 281
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  6. 2023DreamBooth3D: Subject-Driven Text-to-3D Generationcited by 235
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 8; 2026: 10.

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  1. 2025Multimodal Chain-of-Thought Reasoning: A Comprehensive Surveycited by 176
  2. 2024Generating CAD Code with Vision-Language Models for 3D Designscited by 61
  3. 2024BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvementcited by 26
  4. 2025Seek-CAD: A Self-refined Generative Modeling for 3D Parametric CAD Using Local Inference via DeepSeekcited by 22
  5. 2026ArtiCAD: Articulated CAD Assembly Design via Multi-Agent Code Generationcited by 7
  6. 2025EvoCAD: Evolutionary CAD Code Generation with Vision Language Modelscited by 6
  7. 2025CADDesigner: Conceptual CAD Model Generation with a General-Purpose Agentcited by 4
  8. 2025ShapeCraft: LLM Agents for Structured, Textured and Interactive 3D Modelingcited by 3
  9. 2025Human-in-the-Loop: Quantitative Evaluation of 3D Models Generation by Large Language Modelscited by 2
  10. 2025MCP4IFC: IFC-Based Building Design Using Large Language Modelscited by 2
  11. 20253DFroMLLM: 3D Prototype Generation only from Pretrained Multimodal LLMscited by 1
  12. 2026Proc3D: Procedural 3D Generation and Parametric Editing of 3D Shapes with Large Language Modelscited by 1
9 more
  1. 2026Shape of Thought: Progressive Object Assembly via Visual Chain-of-Thoughtcited by 1
  2. 2026ViSculpt: Visual-Centric Agentic Geometry Editingcited by 1
  3. 2024YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animalscited by 0
  4. 2026RobotDesignGPT: Automated Robot Design Synthesis using Vision Language Modelscited by 0
  5. 2026Memory-Augmented Reinforcement Learning Agent for CAD Generationcited by 0
  6. 2026KDH-CAD: Knowledge-data hybrid CAD learning under data scarcitycited by 0
  7. 2026Test-Time Scaling for CAD Generation via Verifier-Free Consensus Selectioncited by 0
  8. 2026aDSL: Agentic 3D Creation via Joint Agent-Program Designcited by 0
  9. 2026AgenticCADedit: A Stateful, Tool-Mediated Agentic Approach to Multimodal 3D CAD Editingcited by 0