Abstract
Manual font design is difficult and requires professional knowledge and skills to perform. Therefore, how to automatically generate the required fonts is a very challenging research task. On the other hand, there are few people who have studied the relationship between fonts and emotions, and common fonts generally cannot reflect emotional information. This paper proposes an Emotional Guidance GAN: an automatic Chinese font generation framework based on Generative Adversarial Network (GAN), which enables the generated fonts to reflect human emotional information. First, an elaborated questionnaire system was developed from Tencent company, which aims to quantitatively figure out the relationship between fonts and emotions. A visual expression recognition part is designed based on the trained model to provide a font generation module with conditional information. Moreover, the Emotional Guidance GAN (EG-GAN) with EM Distance and Gradient Penalty, as well as classification strategies, is proposed to generate new fonts with combined multiple styles that infer by an expression recognition module. The results of the evaluation experiments and the resolution of the synthesized font characters show the credibility of our model.
Highlights
With the development of advertising and multiple media technology rushing into our daily lives, text and characters are generally taken, in the area of publishing-and-printing and screen display, to show some emotions
We propose an Emotional Guidance Generative Adversarial Network (GAN) (EG-GAN) algorithm; employing an emotion-guided operation on the font generation module, the automatic Chinese font generation system is able to generate new style of Chinese fonts with corresponding emotions
We propose an Emotional Guidance GAN (EG-GAN) algorithm based on Zi2Zi merged
Summary
With the development of advertising and multiple media technology rushing into our daily lives, text and characters are generally taken, in the area of publishing-and-printing and screen display, to show some emotions. The reason why most of these application scenarios express emotions using fonts that are appropriate for the characters is because characters alone cannot express enough emotions to users, especially for hieroglyphs such as Chinese and Japanese. During the process of font design, designers tend to incorporate emotional information in them. [1,2] show that characters with specific styles can effectively exert the expression function of emotions, and at the same time, it can be a designed font that can connect characters with people’s emotions and resonate with the audience. Modern Chinese character font expressions need to adapt to the different visual pursuits of modern people according to different purposes, environments, and artistic styles. It is very practical to study the relationship between fonts and emotions. Considering the discussion above, we propose a questionnaire system to combine both
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