SOURCE-LINKED INTELLIGENCE
LoGAN: Multilingual Font Localization with Generative Agents
Localizing a font into new languages is a highly intricate task requiring precise design adaptation of glyphs, color/texture, and spacing/kerning, from source to target languages. Most existing methods focus on single glyph generation with limited capability in handling multilingual font rendering. In this work, we propose LoGAN, a VLM-based agentic framework for few-shot multilingual font localization, which takes in a small number of individual glyphs from a font or letters from a logo and uses them to generate complete character sets in other languages. LoGAN breaks down this task into mult
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-07T04:34:15.000Z
First collected: 2026-09-20T20:52:10.320Z. This is not the publication date.