WordArt 設計師 API：在 ModelScope 上利用大型語言模型進行用戶驅動的藝術字型合成

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

January 3, 2024

作者: Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Jingdong Sun, Wangmeng Xiang, Yusen Hu, Xianhui Lin, Xiaoyang Kang, Zengke Jin, Bin Luo, Yifeng Geng, Xuansong Xie, Jingren Zhou

cs.AI

摘要

本文介紹了WordArt Designer API，這是一個利用大型語言模型（LLMs）在ModelScope上進行用戶驅動的藝術字型合成的新型框架。我們解決了為非專業人士簡化藝術字型的挑戰，提供了一個動態、適應性強且計算效率高的替代方案，以取代傳統的固定模板。我們的方法利用LLMs的能力來理解和解釋用戶輸入，促進更直觀的設計過程。我們通過各種案例研究展示了用戶如何表達他們的美學偏好和功能需求，系統隨後將其轉化為獨特和創意的字型設計。我們的評估顯示，與現有系統相比，用戶滿意度、設計靈活性和創意表達方面均取得了顯著進步。WordArt Designer API不僅實現了印刷字體藝術的民主化，還為個性化數字通訊和設計開辟了新的可能性。

English

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.