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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 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 widely used for conceptual design and parametric 3D modeling, but typically requires a high level of expertise from designers. To lower the entry barrier and facilitate early-stage CAD modeling, we present…

Artificial Intelligence · Computer Science 2026-05-20 Fengxiao Fan , Jingzhe Ni , Xiaolong Yin , Sirui Wang , Xingyu Lu , Qiang Zou , Ruofeng Tong , Min Tang , Peng Du

Instruction-based text editing is increasingly critical for real-world applications such as code editors (e.g., Cursor), but Large Language Models (LLMs) continue to struggle with this task. Unlike free-form generation, editing requires…

Computation and Language · Computer Science 2025-12-16 Yiming Zeng , Jinghan Cao , Zexin Li , Wanhao Yu , Zhankai Ye , Dawei Xiang , Ting Hua , Xin Liu , Shangqian Gao , Tingting Yu

Instruction-based image editing aims to modify specific content within existing images according to user-provided instructions while preserving non-target regions. Beyond traditional object- and style-centric manipulation, text-centric…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Hui Zhang , Juntao Liu , Zongkai Liu , Liqiang Niu , Fandong Meng , Zuxuan Wu , Yu-Gang Jiang

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-to-CAD has recently emerged as an important task with the potential to substantially accelerate design workflows. Despite its significance, there has been surprisingly little work on Text-to-CAD evaluation, and assessing CAD model…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Dimitrios Mallis , Marco Wang , Ahmet Serdar Karadeniz , Elisa Ricci , Anis Kacem , Djamila Aouada

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

Code editing constitutes a fundamental practice in software development, wherein developers modify existing codebases according to natural language requirements. Accurate code editing necessitates a comprehensive understanding of both the…

Software Engineering · Computer Science 2026-04-22 Chaozheng Wang , Zezhou Yang , Shuzheng Gao , Cuiyun Gao , Zongjie Li , Yichen Li , Ting Peng , Hailiang Huang , Yuetang Deng , Michael R. Lyu

The application of Large Language Models (LLMs) in Computer-Aided Design (CAD) remains an underexplored area, despite their remarkable advancements in other domains. In this paper, we present BlenderLLM, a novel framework for training LLMs…

Human-Computer Interaction · Computer Science 2024-12-20 Yuhao Du , Shunian Chen , Wenbo Zan , Peizhao Li , Mingxuan Wang , Dingjie Song , Bo Li , Yan Hu , Benyou Wang

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

Recovering Computer-Aided Design (CAD) programs from 3D geometries is a widely studied problem. Recent advances in large language models (LLMs) have enabled progress in CAD program synthesis, but existing methods rely on supervised training…

Computer Vision and Pattern Recognition · Computer Science 2026-02-16 Yuanbo Li , Dule Shu , Yanying Chen , Matt Klenk , Daniel Ritchie

The advent of Computer-Aided Design (CAD) generative modeling will significantly transform the design of industrial products. The recent research endeavor has extended into the realm of Large Language Models (LLMs). In contrast to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Xueyang Li , Jiahao Li , Yu Song , Yunzhong Lou , Xiangdong Zhou

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

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

Prototyping complex computer-aided design (CAD) models in modern softwares can be very time-consuming. This is due to the lack of intelligent systems that can quickly generate simpler intermediate parts. We propose Text2CAD, the first AI…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Mohammad Sadil Khan , Sankalp Sinha , Talha Uddin Sheikh , Didier Stricker , Sk Aziz Ali , Muhammad Zeshan Afzal

We introduce CADFS, a data-centric framework that enables large vision-language models to generate complex CAD design histories. Existing generative CAD systems are restricted to sketch-extrude operations due to simplified representations…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Vladislav Pyatov , Gleb Bobrovskikh , Saveliy Galochkin , Nikita Boldyrev , Oleg Voynov , Alexander Filippov , Gonzalo Ferrer , Peter Wonka , Evgeny Burnaev

Text animation, a foundational element in video creation, enables efficient and cost-effective communication, thriving in advertisements, journalism, and social media. However, traditional animation workflows present significant usability…

Human-Computer Interaction · Computer Science 2025-06-13 Bao Zhang , Zihan Li , Zhenglei Liu , Huanchen Wang , Yuxin Ma

We introduce neuralCAD-Edit, the first benchmark for editing 3D CAD models collected from expert CAD engineers. Instead of text conditioning as in prior works, we collect realistic CAD editing requests by capturing videos of professional…

Computer Vision and Pattern Recognition · Computer Science 2026-04-20 Toby Perrett , Matthew Bouchard , William McCarthy

Recent approaches to controlled text generation (CTG) often involve manipulating the weights or logits of base language models (LMs) at decoding time. However, these methods are inapplicable to latest black-box LMs and ineffective at…

Computation and Language · Computer Science 2024-07-02 Hye Ryung Son , Jay-Yoon Lee