Few-shot font style transfer with multiple style encoders

被引：0

作者：

Kejun ZHANG ^{[1
]}

Rui ZHANG ^{[1
]}

Yonglin WU ^{[1
]}

Yifei LI ^{[2
]}

Yonggen LING ^{[3
]}

Bolin WANG ^{[1
]}

Lingyun SUN ^{[1
]}

Yingming LI ^{[4
]}

机构：

[1] State Key Lab of CAD&CG, Zhejiang University

[2] School of Software Technology, Zhejiang University

[3] Robotics X Tencent

[4] College of Information Science & Electronic Engineering, Zhejiang University

来源：

Science China(Information Sciences) | 2022年 / 65卷 / 06期

基金：

国家重点研发计划;

关键词：

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

Dear editor,From the sketch to an encapsulated font, text font design is a labor-intensive and time-consuming process that relies heavily on the expertise of designers and usually takes months,even years, for a professional institution. This scenario is particularly prominent for glyph-rich scripts, such as Chinese, where each character is composed of varying numbers of highly complex structured components.

引用

页码：83 / 84

页数：2

共 50 条

[41] Learning relations in human-like style for few-shot fine-grained image classification
Shenming Li
Lin Feng
Linsong Xue
Yifan Wang
Dong Wang
[J]. International Journal of Machine Learning and Cybernetics, 2023, 14 : 377 - 385
[42] Unsupervised style-guided cross-domain adaptation for few-shot stylized face translation
Lan, Jiaying
Ye, Fenghua
Ye, Zhenghua
Xu, Pingping
Ling, Wing-Kuen
Huang, Guoheng
[J]. VISUAL COMPUTER, 2023, 39 (12): : 6167 - 6181
[43] Unsupervised style-guided cross-domain adaptation for few-shot stylized face translation
Jiaying Lan
Fenghua Ye
Zhenghua Ye
Pingping Xu
Wing-Kuen Ling
Guoheng Huang
[J]. The Visual Computer, 2023, 39 : 6167 - 6181
[44] Few-Shot Font Generation by Learning Fine-Grained Local Styles
Tang, Licheng
Cai, Yiyang
Liu, Jiaming
Hong, Zhibin
Gong, Mingming
Fan, Minhu
Han, Junyu
Liu, Jingtuo
Ding, Errui
Wang, Jingdong
[J]. 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2022, : 7885 - 7894
[45] Few-Shot Image Recognition with Knowledge Transfer
Peng, Zhimao
Li, Zechao
Zhang, Junge
Li, Yan
Qi, Guo-Jun
Tang, Jinhui
[J]. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019, : 441 - 449
[46] Diversity Transfer Network for Few-Shot Learning
Chen, Mengting
Fang, Yuxin
Wang, Xinggang
Luo, Heng
Geng, Yifeng
Zhang, Xinyu
Huang, Chang
Liu, Wenyu
Wang, Bo
[J]. THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 10559 - 10566
[47] Learning relations in human-like style for few-shot fine-grained image classification
Li, Shenming
Feng, Lin
Xue, Linsong
Wang, Yifan
Wang, Dong
[J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2023, 14 (02) : 377 - 385
[48] UNDERSTANDING LINEAR STYLE TRANSFER AUTO-ENCODERS
Pradhan, Ian
Lyu, Siwei
[J]. 2021 IEEE 31ST INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP), 2021,
[49] Few-Shot Few-Shot Learning and the role of Spatial Attention
Lifchitz, Yann
Avrithis, Yannis
Picard, Sylvaine
[J]. 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 2693 - 2700
[50] Neural Style Difference Transfer and Its Application to Font Generation
Atarsaikhan, Gantugs
Iwana, Brian Kenji
Uchida, Seiichi
[J]. DOCUMENT ANALYSIS SYSTEMS, 2020, 12116 : 544 - 558

← 1 2 3 4 5 →