论文标题
移情AI画家：具有体现对话互动的计算创造力系统
Empathic AI Painter: A Computational Creativity System with Embodied Conversational Interaction
论文作者
论文摘要
人们越来越认识到，艺术家使用宝贵的方法来理解和使用认知和感知机制，以在其创造的艺术品中传达所需的经历和叙事（Dipaola等，2010； Zeki，2001）。本文记录了我们试图在计算上建模肖像画家的创作过程的尝试，后者依靠理解人类特征（即个性和情感）来告知他们的艺术。我们的系统包括一个移情的对话交互部分，以捕获用户的主要个性类别和生成AI肖像系统，该系统使用此分类来创建对用户肖像的个性化风格化。本文包括对我们系统的描述以及在2019年神经2019会议的演示会议期间获得的实时互动结果。
There is a growing recognition that artists use valuable ways to understand and work with cognitive and perceptual mechanisms to convey desired experiences and narrative in their created artworks (DiPaola et al., 2010; Zeki, 2001). This paper documents our attempt to computationally model the creative process of a portrait painter, who relies on understanding human traits (i.e., personality and emotions) to inform their art. Our system includes an empathic conversational interaction component to capture the dominant personality category of the user and a generative AI Portraiture system that uses this categorization to create a personalized stylization of the user's portrait. This paper includes the description of our systems and the real-time interaction results obtained during the demonstration session of the NeurIPS 2019 Conference.
