WordArt Designer API: User-Driven Artistic Typography Synthesis with Large Language Models on ModelScope

Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Jingdong Sun, Wangmeng Xiang +8 more
1/3/2024
cs.CVcs.CLcs.MM

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Abstract

This paper introduces the WordArt Designer API, a novel framework for user-driven artistic typography synthesis utilizing Large Language Models (LLMs) on ModelScope. We address the challenge of simplifying artistic typography for non-professionals by offering a dynamic, adaptive, and computationally efficient alternative to traditional rigid templates. Our approach leverages the power of LLMs to understand and interpret user input, facilitating a more intuitive design process. We demonstrate through various case studies how users can articulate their aesthetic preferences and functional requirements, which the system then translates into unique and creative typographic designs. Our evaluations indicate significant improvements in user satisfaction, design flexibility, and creative expression over existing systems. The WordArt Designer API not only democratizes the art of typography but also opens up new possibilities for personalized digital communication and design.

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@article{he2024wordart,
  title  = {WordArt Designer API: User-Driven Artistic Typography Synthesis with Large Language Models on ModelScope},
  author = {Jun-Yan He and Zhi-Qi Cheng and Chenyang Li and Jingdong Sun and Wangmeng Xiang and Yusen Hu and Xianhui Lin and Xiaoyang Kang and Zengke Jin and Bin Luo and Yifeng Geng and Xuansong Xie and Jingren Zhou},
  year   = {2024},
  eprint = {2401.01699},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2401.01699v2}
}

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