APSIPA Transactions on Signal and Information Processing > Vol 13 > Issue 1

Intelligent Artistic Typography: A Comprehensive Review of Artistic Text Design and Generation

Yuhang Bai, Wangxuan Institute of Computer Technology, China, Zichuan Huang, Wangxuan Institute of Computer Technology, China, Wenshuo Gao, Wangxuan Institute of Computer Technology, China, Shuai Yang, Wangxuan Institute of Computer Technology, China, williamyang@pku.edu.cn , Jiaying Liu, Wangxuan Institute of Computer Technology, China
 
Suggested Citation
Yuhang Bai, Zichuan Huang, Wenshuo Gao, Shuai Yang and Jiaying Liu (2024), "Intelligent Artistic Typography: A Comprehensive Review of Artistic Text Design and Generation", APSIPA Transactions on Signal and Information Processing: Vol. 13: No. 1, e21. http://dx.doi.org/10.1561/116.20240037

Publication Date: 23 Sep 2024
© 2024 Y. Bai, Z. Huang, W. Gao, S. Yang and J. Liu
 
Subjects
Image and video processing,  Texture analysis and synthesis,  Shape representation,  Animation,  Design and evaluation,  Deep learning
 
Keywords
Artistic texttext effectsemantic typographykinetic typographystyle transferAIGC
 

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This is published under the terms of CC BY-NC.

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In this article:
Introduction 
Task Formulation 
Artistic Text Stylization 
Semantic Typography 
Applications 
Dataset and Evaluation 
Future Challenges 
Conclusion 
References 

Abstract

Artistic text generation aims to amplify the aesthetic qualities of text while maintaining readability. It can make the text more attractive and better convey its expression, thus enjoying a wide range of application scenarios such as social media display, consumer electronics, fashion, and graphic design. Artistic text generation includes artistic text stylization and semantic typography. Artistic text stylization concentrates on the text effect overlaid upon the text, such as shadows, outlines, colors, glows, and textures. By comparison, semantic typography focuses on the deformation of the characters to strengthen their visual representation by mimicking the semantic understanding within the text. This overview paper provides an introduction to both artistic text stylization and semantic typography, including the taxonomy, the key ideas of representative methods, and the applications in static and dynamic artistic text generation. Furthermore, the dataset and evaluation metrics are introduced, and the future directions of artistic text generation are discussed. A comprehensive list of artistic text generation models studied in this review is available at https://github.com/williamyang1991/Awesome-Artistic-Typography/.

DOI:10.1561/116.20240037