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Computer-aided design (CAD) is fundamental to modern engineering and manufacturing, but creating CAD models still requires expert knowledge and specialized software. Recent advances in large language models (LLMs) open up the possibility of…

Artificial Intelligence · Computer Science 2025-05-13 Haoyang Xie , Feng Ju

Computer-Aided Design (CAD) models are widely used across industrial design, simulation, and manufacturing processes. Text-to-CAD systems aim to generate editable, general-purpose CAD models from textual descriptions, significantly reducing…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Zheyuan Zhou , Jiayi Han , Liang Du , Naiyu Fang , Lemiao Qiu , Shuyou Zhang

Computer-Aided Design (CAD) plays a vital role in engineering and manufacturing, yet current CAD workflows require extensive domain expertise and manual modeling effort. Recent advances in large language models (LLMs) have made it possible…

Machine Learning · Computer Science 2025-08-19 Ke Niu , Haiyang Yu , Zhuofan Chen , Mengyang Zhao , Teng Fu , Bin Li , Xiangyang Xue

Creating Computer-Aided Design (CAD) models requires significant expertise and effort. Text-to-CAD, which converts textual descriptions into CAD parametric sequences, is crucial in streamlining this process. Recent studies have utilized…

Computer Vision and Pattern Recognition · Computer Science 2025-06-06 Ruiyu Wang , Yu Yuan , Shizhao Sun , Jiang Bian

Existing methods for text-to-CAD generation either operate in a single pass with no geometric verification or rely on lossy visual feedback that cannot resolve dimensional errors. We present CADSmith, a multi-agent pipeline that generates…

Artificial Intelligence · Computer Science 2026-03-30 Jesse Barkley , Rumi Loghmani , Amir Barati Farimani

Computer-aided design (CAD) is a way to digitally create 2D drawings and 3D models of real-world products. Traditional CAD typically relies on hand-drawing by experts or modifications of existing library files, which doesn't allow for rapid…

Graphics · Computer Science 2025-05-14 Changqi He , Shuhan Zhang , Liguo Zhang , Jiajun Miao

Large Language Models (LLMs) have shown significant potential in designing reward functions for Reinforcement Learning (RL) tasks. However, obtaining high-quality reward code often involves human intervention, numerous LLM queries, or…

Machine Learning · Computer Science 2024-10-21 Shengjie Sun , Runze Liu , Jiafei Lyu , Jing-Wen Yang , Liangpeng Zhang , Xiu Li

Generating editable, parametric CAD models from a single image holds great potential to lower the barriers of industrial concept design. However, current multi-modal large language models (MLLMs) still struggle with accurately inferring 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Yinghui Wang , Xinyu Zhang , Peng Du

Efficient creation of accurate and editable 3D CAD models is critical in engineering design, significantly impacting cost and time-to-market in product innovation. Current manual workflows remain highly time-consuming and demand extensive…

Computer Vision and Pattern Recognition · Computer Science 2025-05-21 Anna C. Doris , Md Ferdous Alam , Amin Heyrani Nobari , Faez Ahmed

Text-to-CAD code generation is a long-horizon task that translates textual instructions into long sequences of interdependent operations. Existing methods typically decode text directly into executable code (e.g., bpy) without explicitly…

Artificial Intelligence · Computer Science 2026-04-14 Shengjie Gong , Wenjie Peng , Hongyuan Chen , Gangyu Zhang , Yunqing Hu , Huiyuan Zhang , Shuangping Huang , Tianshui Chen

Text-to-CAD generation aims to create parametric CAD models from natural language, enabling rapid prototyping and intuitive design workflows. However, existing benchmarks focus on basic primitives and simple sketch-extrude sequences,…

Machine Learning · Computer Science 2026-05-19 Liang Wang , Heng Meng , Zekai Xiang , Jin Liu , Pingyi Zhou , Litao Chen , Yongqiang Tang

We present ReCAD, a reinforcement learning (RL) framework that bootstraps pretrained large models (PLMs) to generate precise parametric computer-aided design (CAD) models from multimodal inputs by leveraging their inherent generative…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Jiahao Li , Yusheng Luo , Yunzhong Lou , Xiangdong Zhou

Automatic generation of computer-aided design (CAD) models is a core technology for enabling intelligence in advanced manufacturing. Existing generation methods based on large language models (LLMs) often fall short when handling complex…

Artificial Intelligence · Computer Science 2026-05-20 Yin Xiaolong , Liu Yu , Shen Jiahang , Lu Xingyu , Ni Jingzhe , Fan Fengxiao , Sang Fan

Large Multimodal Models (LMMs) face limitations in geometric reasoning due to insufficient Chain of Thought (CoT) image-text training data. While existing approaches leverage template-based or LLM-assisted methods for geometric CoT data…

Artificial Intelligence · Computer Science 2025-06-02 Linger Deng , Linghao Zhu , Yuliang Liu , Yu Wang , Qunyi Xie , Jingjing Wu , Gang Zhang , Yingying Zhu , Xiang Bai

Generative AI has transformed the fields of Design and Manufacturing by providing efficient and automated methods for generating and modifying 3D objects. One approach involves using Large Language Models (LLMs) to generate Computer- Aided…

Machine Learning · Computer Science 2025-03-03 Kamel Alrashedy , Pradyumna Tambwekar , Zulfiqar Zaidi , Megan Langwasser , Wei Xu , Matthew Gombolay

Text-based retrieval of Computer-Aided Design (CAD) models is a critical yet underexplored task for the reuse of legacy industrial designs. Existing CAD repositories are typically searched using filenames or directories, which limits the…

Computer Vision and Pattern Recognition · Computer Science 2026-05-08 Honghu Pan , Zibo Du , Daxiang Liu , Chengliang Liu , Xiaoling Luo

Large Language Models (LLMs) have demonstrated impressive capabilities in a wide range of code generation tasks. However, generating code for certain domains remains challenging. One such domain is Computer-Aided Design (CAD) program, where…

Machine Learning · Computer Science 2026-03-10 Yan-Ying Chen , Dule Shu , Matthew Hong , Andrew Taber , Jonathan Li , Matthew Klenk

Computer Aided Design (CAD) is indispensable across various industries. \emph{Text-based CAD editing}, which automates the modification of CAD models based on textual instructions, holds great potential but remains underexplored. Existing…

Computer Vision and Pattern Recognition · Computer Science 2025-07-04 Yu Yuan , Shizhao Sun , Qi Liu , Jiang Bian

Point-Vision-Language Models promise to empower embodied agents with executable spatial reasoning, yet they frequently succumb to geometric hallucination where predicted 3D structures contradict the observed 2D reality. We identify a key…

Computer Vision and Pattern Recognition · Computer Science 2026-04-24 Jingkun Chen , Ruoshi Xu , Mingqi Gao , Shengda Luo , Jungong Han

Designing complex computer-aided design (CAD) models is often time-consuming due to challenges such as computational inefficiency and the difficulty of generating precise models. We propose a novel language-guided framework for industrial…

Artificial Intelligence · Computer Science 2025-05-27 Jianxing Liao , Junyan Xu , Yatao Sun , Maowen Tang , Sicheng He , Jingxian Liao , Shui Yu , Yun Li , Hongguan Xiao
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