Another AI? Artificial Imagination for Artistic Mind Map Generation

Ruixue Liu, Baoyang Chen, Xiaoyu Guo, Meng Chen, Zhijie Qiu and Xiaodong He
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Ruixue Liu: JD AI, China
Baoyang Chen: Central Academy of Fine Arts, China
Xiaoyu Guo: JD AI, China
Meng Chen: JD AI, China
Zhijie Qiu: Central Academy of Fine Arts, China
Xiaodong He: JD AI, China

International Journal of Multimedia Data Engineering and Management (IJMDEM), 2019, vol. 10, issue 3, 47-63

Abstract: This article presents a novel real-time, collaborative, and interactive AI painting system, Mappa Mundi, for artistic Mind Map creation. The system consists of a voice-based input interface, an automatic topic expansion module, and an image projection module. Imagination is one of the most important factors which makes an artistic painting unique and impressive. With the rapid development of artificial intelligence, more and more researchers try to create painting with AI technology. However, lacking imagination is still a main problem for AI painting. This research proposes a novel approach to inject rich imagination into a special kind of painting- Mind Map. Lexical and phonological similarities of respective seed words are first considered, then the system learns and inherits the artist's original painting style, and further applies Dadaism and impossibility of improvisation principles into the process. Several metrics for imagination evaluation are then developed later in the article. The result show that this proposed method can increase the imagination of painting and also improve its overall quality.

Date: 2019
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