用文字生成3D CAD模型，自动转技术图纸
Text2CAD: Text to 3D CAD Generation via Technical Drawings
- 文本描述转等距图，再转正交视图生成3D模型
- 生成的技术图纸可准确还原为高质量CAD模型
- 适合需要快速设计原型的工程师和制造场景
从用户需求生成工业级计算机辅助设计（CAD）模型对提升现代制造业效率至关重要。传统方法依赖人工输入，难以应对复杂或非标准设计，不适应动态工业需求。为此，我们提出Text2CAD框架，利用适配的稳定扩散模型，将用户文本描述直接转化为详细的等距视图，再精确转换为正交视图（如俯视、前视、侧视），提供重建3D CAD模型所需的充分信息。该流程不仅简化了从文本到CAD模型的创建过程，还确保生成模型在物理与尺寸上的一致性，满足工程实际应用要求。实验结果表明，Text2CAD能有效生成可准确转化为高质量3D CAD模型的技术图纸，展现出显著潜力，有望革新基于用户需求的CAD自动化。
原文摘要 · Abstract (English)
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 struggle with complex or non-standard designs, making them less suited for dynamic industrial needs. To overcome these challenges, we introduce Text2CAD, a novel framework that employs stable diffusion models tailored to automate the generation process and efficiently bridge the gap between user specifications in text and functional CAD models. This approach directly translates the user's textural descriptions into detailed isometric images, which are then precisely converted into orthographic views, e.g., top, front, and side, providing sufficient information to reconstruct 3D CAD models. This process not only streamlines the creation of CAD models from textual descriptions but also ensures that the resulting models uphold physical and dimensional consistency essential for practical engineering applications. Our experimental results show that Text2CAD effectively generates technical drawings that are accurately translated into high-quality 3D CAD models, showing substantial potential to revolutionize CAD automation in response to user demands.
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