一个协作式,交互式和上下文意识的绘图代理,用于共同创意设计
IEEE transactions on visualization and computer graphics
|July 11, 2023
概括
本研究介绍了CICADA,一个协作绘图代理,帮助用户创建艺术品. CICADA通过适应用户输入来增强创意工作流程,产生多样化和高质量的草图.
科学领域:
- 人工智能的人工智能
- 计算机视觉 计算机视觉
- 认知科学 认知科学
背景情况:
- 文本条件生成模型擅长创建高质量的图像,但不适合协作创作过程.
- 现有的模型专注于一次性输出,缺乏交互式设计的灵活性.
- 关于专业设计师思维过程的认知科学理论为协作代理人的发展提供了信息.
研究的目的:
- 介绍CICADA (协作式,交互式上下文感知绘图代理) 进行创意协作.
- 开发一种方法,在交互式环境中评估生成模型的期望特征.
- 允许人工智能代理灵活地根据用户贡献继续和修改草图.
主要方法:
- CICADA采用基于矢量的优化合成方法.
- 它处理部分草图,并通过添加或修改痕迹来代地改进它们.
- 在这种情况下,提出了一种新的多样性测量方法来评估模型特征.
主要成果:
- CICADA制作的草图质量与人类用户相提并论.
- 该代理在其输出中显示了增强的多样性.
- CICADA有效地处理变更和用户贡献,灵活地继续草图.
结论:
- CICADA为人类-人工智能在绘画方面的创造性合作提供了一个新的框架.
- 拟议的评估方法有助于理解交互式设计中的AI.
- 作为一个灵活的创意合作伙伴,CICADA是迈向人工智能的重要一步.
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