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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

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

Parametric Computer-Aided Design (CAD) is central to contemporary mechanical design. However, it encounters challenges in achieving precise parametric sketch modeling and lacks practical evaluation metrics suitable for mechanical design. We…

Computer Vision and Pattern Recognition · Computer Science 2024-09-27 Sifan Wu , Amir Khasahmadi , Mor Katz , Pradeep Kumar Jayaraman , Yewen Pu , Karl Willis , Bang Liu

Computer-aided design (CAD) is the digital construction of 2D and 3D objects, and is central to a wide range of engineering and manufacturing applications like automobile and aviation. Despite its importance, CAD modeling remains largely a…

Graphics · Computer Science 2026-01-09 Prashant Govindarajan , Davide Baldelli , Jay Pathak , Quentin Fournier , Sarath Chandar

Recently, Large Language Models (LLMs) have achieved significant success, prompting increased interest in expanding their generative capabilities beyond general text into domain-specific areas. This study investigates the generation of…

Computer Vision and Pattern Recognition · Computer Science 2025-06-11 Jiahao Li , Weijian Ma , Xueyang Li , Yunzhong Lou , Guichun Zhou , Xiangdong Zhou

Computer-Aided Design (CAD) is a foundational component of industrial prototyping, where models are defined not by raw coordinates but by construction sequences such as sketches and extrusions. This sequential structure enables both…

Machine Learning · Computer Science 2026-03-05 Ruiyu Wang , Shizhao Sun , Weijian Ma , Jiang Bian

Computer-Aided Design (CAD) is an expert-level task that relies on long-horizon reasoning and coherent modeling actions. Large Language Models (LLMs) have shown remarkable advancements in enabling language agents to tackle real-world tasks.…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Yifei Gong , Xing Wu , Wenda Liu , Kang Tu

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

In this work, we introduce CAD-Coder, a novel framework that reformulates text-to-CAD as the generation of CadQuery scripts - a Python-based, parametric CAD language. This representation enables direct geometric validation, a richer…

Graphics · Computer Science 2026-05-15 Yandong Guan , Xilin Wang , Ximing Xing , Jing Zhang , Dong Xu , Qian Yu

The generation of industrial Computer-Aided Design (CAD) models from user requests and specifications is crucial to enhancing efficiency in modern manufacturing. Traditional methods of CAD generation rely heavily on manual inputs and…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Mohsen Yavartanoo , Sangmin Hong , Reyhaneh Neshatavar , Kyoung Mu Lee

This paper aims to design a unified Computer-Aided Design (CAD) generation system that can easily generate CAD models based on the user's inputs in the form of textual description, images, point clouds, or even a combination of them.…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Jingwei Xu , Chenyu Wang , Zibo Zhao , Wen Liu , Yi Ma , Shenghua Gao

Large Language Models (LLMs) are revolutionizing industries by enhancing efficiency, scalability, and innovation. This paper investigates the potential of LLMs in automating Computer-Aided Design (CAD) workflows, by integrating FreeCAD with…

Human-Computer Interaction · Computer Science 2025-08-05 Sumit Kumar , Sarthak Kapoor , Harsh Vardhan , Yao Zhao

Computer-aided design (CAD) is vital to modern manufacturing, yet model creation remains labor-intensive and expertise-heavy. To enable non-experts to translate intuitive design intent into manufacturable artifacts, recent large language…

Artificial Intelligence · Computer Science 2026-01-21 Xiangyu Shi , Junyang Ding , Xu Zhao , Sinong Zhan , Payal Mohapatra , Daniel Quispe , Kojo Welbeck , Jian Cao , Wei Chen , Ping Guo , Qi Zhu

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

Computer-Aided Design (CAD) generative modeling is driving significant innovations across industrial applications. Recent works have shown remarkable progress in creating solid models from various inputs such as point clouds, meshes, and…

Computer Vision and Pattern Recognition · Computer Science 2025-09-12 Feiwei Qin , Shichao Lu , Junhao Hou , Changmiao Wang , Meie Fang , Ligang Liu

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

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 central role in engineering and manufacturing, making it possible to create precise and editable 3D models. Using a variety of sensor or user-provided data as inputs for CAD reconstruction can democratize…

Computer Vision and Pattern Recognition · Computer Science 2026-02-18 Maksim Kolodiazhnyi , Denis Tarasov , Dmitrii Zhemchuzhnikov , Alexander Nikulin , Ilya Zisman , Anna Vorontsova , Anton Konushin , Vladislav Kurenkov , Danila Rukhovich

The field of advanced text-to-image generation is witnessing the emergence of unified frameworks that integrate powerful text encoders, such as CLIP and T5, with Diffusion Transformer backbones. Although there have been efforts to control…

Computer Vision and Pattern Recognition · Computer Science 2025-02-28 Liang Chen , Shuai Bai , Wenhao Chai , Weichu Xie , Haozhe Zhao , Leon Vinci , Junyang Lin , Baobao Chang

Connecting text and visual modalities plays an essential role in generative intelligence. For this reason, inspired by the success of large language models, significant research efforts are being devoted to the development of Multimodal…

Computer Vision and Pattern Recognition · Computer Science 2024-06-07 Davide Caffagni , Federico Cocchi , Luca Barsellotti , Nicholas Moratelli , Sara Sarto , Lorenzo Baraldi , Lorenzo Baraldi , Marcella Cornia , Rita Cucchiara
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