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WordArt Designer: User-Driven Artistic Typography Synthesis using Large Language Models

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arxiv 2310.18332 v2 pith:TAXEVX7O submitted 2023-10-20 cs.CL cs.AIcs.CVcs.GR

Jun-Yan He , Zhi-Qi Cheng , Chenyang Li , Jingdong Sun , Wangmeng Xiang , Xianhui Lin , Xiaoyang Kang , Zengke Jin
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Yusen Hu Bin Luo Yifeng Geng Xuansong Xie Jingren Zhou
This is my paper · ORCID
classification cs.CLcs.AIcs.CVcs.GR
keywords wordartartisticmoduledesignermodulessemtypotypographyconcepts
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper introduces WordArt Designer, a user-driven framework for artistic typography synthesis, relying on the Large Language Model (LLM). The system incorporates four key modules: the LLM Engine, SemTypo, StyTypo, and TexTypo modules. 1) The LLM Engine, empowered by the LLM (e.g., GPT-3.5), interprets user inputs and generates actionable prompts for the other modules, thereby transforming abstract concepts into tangible designs. 2) The SemTypo module optimizes font designs using semantic concepts, striking a balance between artistic transformation and readability. 3) Building on the semantic layout provided by the SemTypo module, the StyTypo module creates smooth, refined images. 4) The TexTypo module further enhances the design's aesthetics through texture rendering, enabling the generation of inventive textured fonts. Notably, WordArt Designer highlights the fusion of generative AI with artistic typography. Experience its capabilities on ModelScope: https://www.modelscope.cn/studios/WordArt/WordArt.

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  1. Qualitative Study for LLM-assisted Design Study Process: Strategies, Challenges, and Roles

    cs.HC 2025-07 conditional novelty 6.0 of 10

    Through interviews with 30 researchers, the paper identifies four roles that LLMs play in visualization design studies and maps them onto the nine-stage design study process.

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