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FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applications
March 12, 2024, 4:48 a.m. | Yuki Tatsukawa, I-Chao Shen, Anran Qi, Yuki Koyama, Takeo Igarashi, Ariel Shamir
cs.CV updates on arXiv.org arxiv.org
Abstract: Acquiring the desired font for various design tasks can be challenging and requires professional typographic knowledge. While previous font retrieval or generation works have alleviated some of these difficulties, they often lack support for multiple languages and semantic attributes beyond the training data domains. To solve this problem, we present FontCLIP: a model that connects the semantic understanding of a large vision-language model with typographical knowledge. We integrate typography-specific knowledge into the comprehensive vision-language knowledge …
abstract applications arxiv beyond cs.cv cs.gr data design domains knowledge language language model languages multilingual multiple professional retrieval semantic support tasks training training data type typography visual
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