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

TL;DR

This paper reviews artistic text generation techniques, covering stylization and semantic typography, discussing models, datasets, metrics, and future directions for enhancing aesthetic and expressive text design.

Contribution

It provides a comprehensive taxonomy, analysis of key methods, and an overview of applications, datasets, and evaluation metrics in artistic text generation.

Findings

Taxonomy of artistic text stylization and semantic typography

Overview of representative models and methods

Discussion of datasets, metrics, and future research directions

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/.