title: WordArt Designer API: User-Driven Artistic Typography Synthesis with
    Large Language Models on ModelScope
summary: 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.
paper_authors._id: 6596142d72376a9c31967500
paper_authors.name: Jun-Yan He
paper_authors._id: 6596142d72376a9c31967501
paper_authors.name: Zhi-Qi Cheng
paper_authors._id: 6596142d72376a9c31967502
paper_authors.name: Chenyang Li
paper_authors._id: 6596142d72376a9c31967503
paper_authors.name: Jingdong Sun
paper_authors._id: 6596142d72376a9c31967504
paper_authors.name: Wangmeng Xiang
paper_authors._id: 6596142d72376a9c31967505
paper_authors.name: Yusen Hu
paper_authors._id: 6596142d72376a9c31967506
paper_authors.name: Xianhui Lin
paper_authors._id: 6596142d72376a9c31967507
paper_authors.name: Xiaoyang Kang
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-03-06T16:15:45.012Z
paper_authors._id: 63e4f0a15bbdd8d44b540925
paper_authors.avatarUrl: /avatars/dcb766ea97c5e3690d163de03190e25c.svg
paper_authors.fullname: KK
paper_authors.type: user
paper_authors.user: piddnad
paper_authors._id: 6596142d72376a9c31967508
paper_authors.name: Zengke Jin
paper_authors._id: 6596142d72376a9c31967509
paper_authors.name: Bin Luo
paper_authors._id: 6596142d72376a9c3196750a
paper_authors.name: Yifeng Geng
paper_authors._id: 6596142d72376a9c3196750b
paper_authors.name: Xuansong Xie
paper_authors._id: 6596142d72376a9c3196750c
paper_authors.name: Jingren Zhou
paper_title: WordArt Designer API: User-Driven Artistic Typography Synthesis with
    Large Language Models on ModelScope
paper_summary: 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.
paper_ai_summary: The WordArt Designer API uses Large Language Models to enable intuitive, user-driven creation of unique typographic designs, enhancing user satisfaction and flexibility over traditional methods.
paper_ai_keywords: Large Language Models ModelScope artistic typography dynamic adaptive computational efficiency intuitive design process aesthetic preferences functional requirements typographic designs user satisfaction design flexibility creative expression personalized digital communication