WordArt Designer API：基于ModelScope大语言模型的用户驱动艺术字体合成
WordArt Designer API: User-Driven Artistic Typography Synthesis with Large Language Models on ModelScope
AI总结：
本文提出WordArt Designer API，利用ModelScope上的大语言模型理解用户输入，将审美与功能需求转化为创意字体设计，实现艺术字体的大众化与个性化。
摘要：
本文介绍了WordArt Designer API，这是一个在ModelScope上利用大语言模型（LLMs）进行用户驱动艺术字体合成的新颖框架。我们致力于解决非专业人士简化艺术字体设计的难题，通过提供一种动态、自适应且计算高效的方案来替代传统僵化模板。我们的方法利用大语言模型的力量来理解和解释用户输入，从而促进更直观的设计过程。我们通过各种案例研究展示了用户如何表达其审美偏好和功能需求，系统随后将这些需求转化为独特且富有创意的字体设计。我们的评估表明，与现有系统相比，在用户满意度、设计灵活性和创意表达方面均有显著提升。WordArt Designer API不仅使字体设计艺术大众化，还为个性化数字通信和设计开辟了新的可能性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
