Publication detail
Capturing Fonts in the Wild
KOLÁŘ, M. HRADIŠ, M. ZEMČÍK, P.
Original Title
Capturing Fonts in the Wild
English Title
Capturing Fonts in the Wild
Type
conference paper
Language
en
Original Abstract
Editing text in photographs requires the ability to find the same font, which is impossible in many settings, such as historical or manually painted text. We present a method of extracting the font from a single photographed word, without relying on the retrieval of similar fonts. A deep net extracts style information and constructs the font for all characters, enabling novel applications in image editing, font creation, and the addition of language-specific characters with diacritics to existing fonts. A qualitative user study shows that this method improves convincing font capture by over 500% over prior work.
English abstract
Editing text in photographs requires the ability to find the same font, which is impossible in many settings, such as historical or manually painted text. We present a method of extracting the font from a single photographed word, without relying on the retrieval of similar fonts. A deep net extracts style information and constructs the font for all characters, enabling novel applications in image editing, font creation, and the addition of language-specific characters with diacritics to existing fonts. A qualitative user study shows that this method improves convincing font capture by over 500% over prior work.
Keywords
Computing methodologies, Image processing
Released
25.11.2020
Publisher
Eurographics Association
Location
NEUVEDEN
ISBN
978-3-03868-124-3
Book
Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference
Edition
NEUVEDEN
Issue number
NEUVEDEN
URL
Documents
BibTex
@inproceedings{BUT168499,
author="Martin {Kolář} and Michal {Hradiš} and Pavel {Zemčík}",
title="Capturing Fonts in the Wild",
annote="Editing text in photographs requires the ability to find the same font, which is
impossible in many settings, such as historical or manually painted text. We
present a method of extracting the font from a single photographed word, without
relying on the retrieval of similar fonts. A deep net extracts style information
and constructs the font for all characters, enabling novel applications in image
editing, font creation, and the addition of language-specific characters with
diacritics to existing fonts. A qualitative user study shows that this method
improves convincing font capture by over 500% over prior work.",
address="Eurographics Association",
booktitle="Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference",
chapter="168499",
doi="10.2312/stag.20201238",
edition="NEUVEDEN",
howpublished="online",
institution="Eurographics Association",
year="2020",
month="november",
pages="0--0",
publisher="Eurographics Association",
type="conference paper"
}