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Review Article | Open Access

AI-driven generation of 3D CAD models: A survey

School of Mathematical Sciences, University of Science and Technology of China, Hefei 230026, China
School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei 230026, China
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Abstract

Integrating artificial intelligence (AI) into computer-aided design (CAD) has shown the potential to transform design and manufacturing processes, enabling more efficient, intuitive, and intelligent workflows. In recent years, the application of AI to 3D CAD model generation tasks has gradually emerged. To better enable researchers to understand the current research status of the AI-based CAD generation field and to inspire them to conduct further research, this survey explores the role of AI in 3D CAD model generation tasks that utilize various representations and conditions, ranging from traditional machine learning to LLM-based approaches. Additionally, AI applications in other extended CAD areas are also touched upon in the survey. Finally, we analyze current progress, identify challenges and limitations faced by this field, and propose possible directions for future work.

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Computational Visual Media
Pages 575-614

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Cite this article:
Wu W, Wu K, Xing S, et al. AI-driven generation of 3D CAD models: A survey. Computational Visual Media, 2026, 12(3): 575-614. https://doi.org/10.26599/CVM.2025.9450521

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Received: 08 September 2025
Accepted: 22 November 2025
Published: 30 April 2026
© The Author(s) 2026.

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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