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arXiv 2409.01283cs.HC
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迈向生成式AI设计对话

Towards a Generative AI Design Dialogue

Aron E. Owen, Jonathan C. Roberts

AI总结:

本文提出一种将设计师工作时的口头叙述转化为AI提示的新设计流程,通过融合人类创造力与生成式AI能力实现快速迭代,提升可视化设计的质量、创新性、可及性与效率。

摘要:

传统可视化设计师通常在实现之前先绘制草图。借助生成式AI,这些草图可以通过特定提示转化为AI生成的可视化。然而,引导AI创建引人注目的视觉作品可能具有挑战性。我们提出一种新的设计流程,设计师在工作过程中口头表达自己的想法,随后将这些叙述转化为AI提示。这种方法有助于AI生成准确的视觉作品,并协助设计师完善其概念,从而提升整体设计流程。将人类创造力与AI能力相融合,能够实现快速迭代,从而产生更高质量和更具创新性的可视化,使设计更加便捷和高效。

英文摘要:

Traditional visualisation designers often start with sketches before implementation. With generative AI, these sketches can be turned into AI-generated visualisations using specific prompts. However, guiding AI to create compelling visuals can be challenging. We propose a new design process where designers verbalise their thoughts during work, later converting these narratives into AI prompts. This approach helps AI generate accurate visuals and assists designers in refining their concepts, enhancing the overall design process. Blending human creativity with AI capabilities enables rapid iteration, leading to higher quality and more innovative visualisations, making design more accessible and efficient.

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。

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