MetaDesigner revolutionizes artistic typography synthesis by leveraging the
strengths of Large Language Models (LLMs) to drive a design paradigm centered
around user engagement. At the core of this framework lies a multi-agent system
comprising the Pipeline, Glyph, and Texture agents, which collectively enable
the creation of customized WordArt, ranging from semantic enhancements to the
imposition of complex textures. MetaDesigner incorporates a comprehensive
feedback mechanism that harnesses insights from multimodal models and user
evaluations to refine and enhance the design process iteratively. Through this
feedback loop, the system adeptly tunes hyperparameters to align with
user-defined stylistic and thematic preferences, generating WordArt that not
only meets but exceeds user expectations of visual appeal and contextual
relevance. Empirical validations highlight MetaDesigner's capability to
effectively serve diverse WordArt applications, consistently producing
aesthetically appealing and context-sensitive results.

MetaDesigner 通过利用大型语言模型的优势来革新艺术排版综合，并以用户参与为中心的设计范式。该框架的核心是由 Pipeline、Glyph 和 Texture 代理组成的多代理系统，共同实现从语义增强到复杂纹理的定制 WordArt 的创建。MetaDesigner 通过综合多模型的见解和用户评估的全面反馈机制，迭代地改进和增强设计过程。通过这一反馈循环，该系统巧妙调整超参数以与用户定义的风格和主题偏好相一致，生成视觉吸引力和语境相关性均超出用户期望的 WordArt。经验证实，MetaDesigner 有效地服务于多种 WordArt 应用，持续生成美学吸引力和语境敏感性的结果。

元设计师：通过 AI 驱动、面向用户、多语言的字艺术综合推进艺术字体设计

MetaDesigner: Advancing Artistic Typography through AI-Driven,  User-Centric, and Multilingual WordArt Synthesis

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.

该研究介绍了 WordArt Designer API，这是一种利用 ModelScope 上的大语言模型（LLMs）进行用户驱动的艺术字体合成的新型框架。我们通过提供一种动态、自适应且计算高效的替代方案，解决了艺术字体对非专业人士的简化挑战。我们的方法利用 LLMs 的能力来理解和解释用户输入，从而实现更直观的设计过程。通过各种案例研究，我们展示了用户如何表达他们的审美偏好和功能要求，系统则将其转化为独特且创意的字体设计。我们的评估结果表明，与现有系统相比，用户满意度、设计灵活性和创造性表达都有显着改进。WordArt Designer API 不仅民主化了字体艺术，还为个性化的数字传播和设计开辟了新的可能性。

WordArt Designer API：基于大型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

This paper introduces "WordArt Designer", a user-driven framework for
artistic typography synthesis, relying on Large Language Models (LLM). The
system incorporates four key modules: the "LLM Engine", "SemTypo", "StyTypo",
and "TexTypo" modules. 1) The "LLM Engine", empowered by LLM (e.g.,
GPT-3.5-turbo), 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:
this https URL

这篇论文介绍了 “WordArt Designer”，一种依赖于大型语言模型（LLM）的用户驱动艺术字体综合框架，结合了生成式人工智能与艺术字体设计，包括 LLM 引擎、SemTypo 模块、StyTypo 模块和 TexTypo 模块等四个关键模块。