WordArt Designer API: User-Driven Artistic Typography Synthesis with
  Large Language Models on ModelScope
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.
6596142d72376a9c31967500
Jun-Yan He
6596142d72376a9c31967501
Zhi-Qi Cheng
6596142d72376a9c31967502
Chenyang Li
6596142d72376a9c31967503
Jingdong Sun
6596142d72376a9c31967504
Wangmeng Xiang
6596142d72376a9c31967505
Yusen Hu
6596142d72376a9c31967506
Xianhui Lin
6596142d72376a9c31967507
Xiaoyang Kang
admin_assigned
2024-03-06T16:15:45.012Z
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/avatars/dcb766ea97c5e3690d163de03190e25c.svg
KK
user
piddnad
6596142d72376a9c31967508
Zengke Jin
6596142d72376a9c31967509
Bin Luo
6596142d72376a9c3196750a
Yifeng Geng
6596142d72376a9c3196750b
Xuansong Xie
6596142d72376a9c3196750c
Jingren Zhou
WordArt Designer API: User-Driven Artistic Typography Synthesis with
  Large Language Models on ModelScope
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.
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.
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