Intelligent Artistic Typography: A Comprehensive Review of Artistic Text Design and Generation
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Abstract (arXiv)
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/.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 71 of its 134 references that are in the map. First posted on arXiv 20 Jul 2024.
Builds on
71 of 134 references.
References · 71
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38 more
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50 most cited of 71 All 71 (JSON)
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Citing papers per year: 2024: 3; 2025: 5; 2026: 1.
9 papers.
- 2024FonTS: Text Rendering with Typography and Style Controlscited by 40
- 2025POSTA: A Go-to Framework for Customized Artistic Poster Generationcited by 36
- 2025WordCon: Word-level Typography Control in Scene Text Renderingcited by 16
- 2025ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotationscited by 10
- 2025OCRGenBench: A Comprehensive Benchmark for Evaluating OCR Generative Capabilitiescited by 8
- 2024VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Modelscited by 4
- 2025MX-Font++: Mixture of Heterogeneous Aggregation Experts for Few-shot Font Generationcited by 2
- 2024Khattat: Enhancing Readability and Concept Representation of Semantic Typographycited by 1
- 2026TextWand: A Unified Framework for Scene Text Editingcited by 1
- 2026TextWand: A Unified Framework for Scene Text Editing4 Jun 2026
- 2025OCRGenBench: A Comprehensive Benchmark for Evaluating OCR Generative Capabilities20 Jul 2025
- 2025WordCon: Word-level Typography Control in Scene Text Rendering26 Jun 2025
- 2025POSTA: A Go-to Framework for Customized Artistic Poster Generation19 Mar 2025
- 2025MX-Font++: Mixture of Heterogeneous Aggregation Experts for Few-shot Font Generation4 Mar 2025
- 2025ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations16 Feb 2025
- 2024FonTS: Text Rendering with Typography and Style Controls28 Nov 2024
- 2024VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Models2 Oct 2024
- 2024Khattat: Enhancing Readability and Concept Representation of Semantic Typography1 Oct 2024