受AI启发？一种辅助概念性汽车设计的新型生成式AI系统
Inspired by AI? A Novel Generative AI System To Assist Conceptual Automotive Design
AI总结：
针对生成式AI在设计应用中风格偏见、语义理解不足和流程整合缺失的问题，通过工作坊和调查，开发了基于扩散模型的辅助概念性汽车设计的生成式AI系统。
摘要：
设计灵感对于确定设计方向以及在概念设计过程中唤起情感和传达意义至关重要。许多实践设计师使用基于文本的搜索在Pinterest等平台上收集图像灵感，随后在纸上或使用数字工具进行草图绘制以发展概念。新兴的生成式AI技术，如扩散模型，提供了一种有前景的途径来简化这些过程，即基于文本和图像灵感输入快速生成设计概念，随后将AI生成的设计概念用作进一步概念发展的新灵感来源。然而，在设计情境中直接应用这些生成式AI技术存在挑战。首先，生成式AI工具可能对特定风格表现出偏见，导致设计输出的多样性不足。其次，这些工具可能难以把握设计情境中文本或图像的细微含义。最后，缺乏与设计团队内既定设计流程的整合可能导致使用场景碎片化。针对这些挑战，我们开展了工作坊、调查和数据增强，涉及经验丰富的汽车设计师团队，以调查他们当前在生成受文本和图像启发的概念方面的实践，以及他们对生成式AI系统支持概念生成工作流程的偏好交互模式。最后，我们开发了一种基于扩散模型的新型生成式AI系统，以辅助概念性汽车设计。
英文摘要：
Design inspiration is crucial for establishing the direction of a design as well as evoking feelings and conveying meanings during the conceptual design process. Many practice designers use text-based searches on platforms like Pinterest to gather image ideas, followed by sketching on paper or using digital tools to develop concepts. Emerging generative AI techniques, such as diffusion models, offer a promising avenue to streamline these processes by swiftly generating design concepts based on text and image inspiration inputs, subsequently using the AI generated design concepts as fresh sources of inspiration for further concept development. However, applying these generative AI techniques directly within a design context has challenges. Firstly, generative AI tools may exhibit a bias towards particular styles, resulting in a lack of diversity of design outputs. Secondly, these tools may struggle to grasp the nuanced meanings of texts or images in a design context. Lastly, the lack of integration with established design processes within design teams can result in fragmented use scenarios. Focusing on these challenges, we conducted workshops, surveys, and data augmentation involving teams of experienced automotive designers to investigate their current practices in generating concepts inspired by texts and images, as well as their preferred interaction modes for generative AI systems to support the concept generation workflow. Finally, we developed a novel generative AI system based on diffusion models to assist conceptual automotive design.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
