# From Knowledge Map to Mind Map: Artificial Imagination

**Authors:** Ruixue Liu, Baoyang Chen, Xiaoyu Guo, Yan Dai, Meng Chen, Zhijie Qiu,, Xiaodong He

arXiv: 1903.01080 · 2019-03-07

## TL;DR

This paper introduces a novel AI-based method for creating artistic paintings that incorporates imagination by using lexical, phonological, stylistic, and artistic principles, resulting in more imaginative and higher-quality paintings.

## Contribution

It presents a new approach to enhance AI painting with imagination by integrating linguistic similarities, style inheritance, and artistic principles like Dadaism.

## Key findings

- Increases the imagination level of AI-generated paintings.
- Improves overall quality of AI-created artworks.
- Proposes metrics for evaluating imagination in paintings.

## Abstract

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 automatically. However, lacking of imagination is still a main problem for AI painting. In this paper, we propose a novel approach to inject rich imagination into a special painting art Mind Map creation. We firstly consider lexical and phonological similarities of seed word, then learn and inherit original painting style of the author, and finally apply Dadaism and impossibility of improvisation principles into painting process. We also design several metrics for imagination evaluation. Experimental results show that our proposed method can increase imagination of painting and also improve its overall quality.

## Full text

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## Figures

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## References

15 references — full list in the complete paper: https://tomesphere.com/paper/1903.01080/full.md

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Source: https://tomesphere.com/paper/1903.01080