mlsanityData to 14 Oct 2026

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

arXiv 2401.01699 ↗First posted 3 Jan 2024cs.CV cs.CL cs.MMcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 5 of its 11 references that are in the map. First posted on arXiv 3 Jan 2024.

Builds on

5 of 11 references.

References · 5

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  3. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
  4. 2018Video2Shop: Exact Matching Clothes in Videos to Online Shopping Imagescited by 26
  5. 2023WordArt Designer: User-Driven Artistic Typography Synthesis using Large Language Modelscited by 15

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Citing papers per year: 2024: 1; 2025: 1.

2 papers.