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Designing fonts for languages with a large number of characters, such as Japanese and Chinese, is an extremely labor-intensive and time-consuming task. In this study, we addressed the problem of automatically generating Japanese typographic…

Computer Vision and Pattern Recognition · Computer Science 2020-11-05 Haruka Aoki , Koki Tsubota , Hikaru Ikuta , Kiyoharu Aizawa

Automatic character generation is an appealing solution for new typeface design, especially for Chinese typefaces including over 3700 most commonly-used characters. This task has two main pain points: (i) handwritten characters are usually…

Computer Vision and Pattern Recognition · Computer Science 2019-05-07 Chuan Wen , Jie Chang , Ya Zhang , Siheng Chen , Yanfeng Wang , Mei Han , Qi Tian

This paper proposes a novel model of few-part-shot font generation, which designs an entire font based on a set of partial design elements, i.e., partial shapes. Unlike conventional few-shot font generation, which requires entire character…

Computer Vision and Pattern Recognition · Computer Science 2025-09-15 Masaki Akiba , Shumpei Takezaki , Daichi Haraguchi , Seiichi Uchida

Handwritten font generation is important for preserving cultural heritage and creating personalized designs. It adds an authentic and expressive touch to printed materials, making them visually appealing and establishing a stronger…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Preeti P. Bhatt , Jitendra V. Nasriwala , Rakesh R. Savant

Chinese, Japanese, and Korean (CJK), with a vast number of native speakers, have profound influence on society and culture. The typesetting of CJK languages carries a wide range of requirements due to the complexity of their scripts and…

Computer Vision and Pattern Recognition · Computer Science 2024-04-26 Yingtao Tian

Multi-stroke characters in scripts such as Chinese and Japanese can be highly complex, posing significant challenges for both native speakers and, especially, non-native learners. If these characters can be simplified without degrading…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Ryo Ishiyama , Shinnosuke Matsuo , Seiichi Uchida

Chinese vector font generation is challenging due to the complex structure and huge amount of Chinese characters. Recent advances remain limited to generating a small set of characters with simple structure. In this work, we first observe…

Computer Vision and Pattern Recognition · Computer Science 2024-04-11 Jinyu Song , Weitao You , Shuhui Shi , Shuxuan Guo , Lingyun Sun , Wei Wang

In this paper, we propose and end-to-end deep Chinese font generation system. This system can generate new style fonts by interpolation of latent style-related embeding variables that could achieve smooth transition between different style.…

Computer Vision and Pattern Recognition · Computer Science 2020-04-08 Fenxi Xiao , Bo Huang , Xia Wu

Typography is a ubiquitous art form that affects our understanding, perception, and trust in what we read. Thousands of different font-faces have been created with enormous variations in the characters. In this paper, we learn the style of…

Computer Vision and Pattern Recognition · Computer Science 2016-03-15 Shumeet Baluja

Font generation is a difficult and time-consuming task, especially in those languages using ideograms that have complicated structures with a large number of characters, such as Chinese. To solve this problem, few-shot font generation and…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Haibin He , Xinyuan Chen , Chaoyue Wang , Juhua Liu , Bo Du , Dacheng Tao , Yu Qiao

In this paper, we discuss the generation of symbols (and alphabets) based on specific user requirements (medium, priorities, type of information that needs to be conveyed). A framework for the generation of alphabets is proposed, and its…

Human-Computer Interaction · Computer Science 2017-09-29 Serhii Hamotskyi , Anis Rojbi , Sergii Stirenko , Yuri Gordienko

Font selection is one of the most important steps in a design workflow. Traditional methods rely on ordered lists which require significant domain knowledge and are often difficult to use even for trained professionals. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2019-10-03 Tianlang Chen , Zhaowen Wang , Ning Xu , Hailin Jin , Jiebo Luo

Robot calligraphy is an emerging exploration of artificial intelligence in the fields of art and education. Traditional calligraphy generation researches mainly focus on methods such as tool-based image processing, generative models, and…

Computer Vision and Pattern Recognition · Computer Science 2023-12-18 Xiaoming Wang , Zhiguo Gong

In this work, we consider the typography generation task that aims at producing diverse typographic styling for the given graphic document. We formulate typography generation as a fine-grained attribute generation for multiple text elements…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Wataru Shimoda , Daichi Haraguchi , Seiichi Uchida , Kota Yamaguchi

Automatic font generation (AFG) is the process of creating a new font using only a few examples of the style images. Generating fonts for complex languages like Korean and Chinese, particularly in handwritten styles, presents significant…

Computer Vision and Pattern Recognition · Computer Science 2025-05-01 Abdul Sami , Avinash Kumar , Irfanullah Memon , Youngwon Jo , Muhammad Rizwan , Jaeyoung Choi

Handwriting Recognition enables a person to scribble something on a piece of paper and then convert it into text. If we look into the practical reality there are enumerable styles in which a character may be written. These styles can be…

Computer Vision and Pattern Recognition · Computer Science 2010-04-20 Rahul Kala , Harsh Vazirani , Anupam Shukla , Ritu Tiwari

Creating new fonts requires a lot of human effort and professional typographic knowledge. Despite the rapid advancements of automatic font generation models, existing methods require users to prepare pre-designed characters with target…

Human-Computer Interaction · Computer Science 2025-02-19 Yuki Tatsukawa , I-Chao Shen , Mustafa Doga Dogan , Anran Qi , Yuki Koyama , Ariel Shamir , Takeo Igarashi

Generating synthetic images of handwritten text in a writer-specific style is a challenging task, especially in the case of unseen styles and new words, and even more when these latter contain characters that are rarely encountered during…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Vittorio Pippi , Silvia Cascianelli , Rita Cucchiara

Chinese character style transfer is a very challenging problem because of the complexity of the glyph shapes or underlying structures and large numbers of existed characters, when comparing with English letters. Moreover, the handwriting of…

Computer Vision and Pattern Recognition · Computer Science 2021-08-10 Qi Wen , Shuang Li , Bingfeng Han , Yi Yuan

Designing fonts requires a great deal of time and effort. It requires professional skills, such as sketching, vectorizing, and image editing. Additionally, each letter has to be designed individually. In this paper, we will introduce a…

Computer Vision and Pattern Recognition · Computer Science 2020-01-22 Gantugs Atarsaikhan , Brian Kenji Iwana , Seiichi Uchida
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