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

[1] Few-shot font style transfer with multiple style encoders
Kejun Zhang
Rui Zhang
Yonglin Wu
Yifei Li
Yonggen Ling
Bolin Wang
Lingyun Sun
Yingming Li
Science China Information Sciences, 2022, 65
[2] Few-shot font style transfer with multiple style encoders
Zhang, Kejun
Zhang, Rui
Wu, Yonglin
Li, Yifei
Ling, Yonggen
Wang, Bolin
Sun, Lingyun
Li, Yingming
SCIENCE CHINA-INFORMATION SCIENCES, 2022, 65 (06)
[3] Few-shot Font Style Transfer between Different Languages
Li, Chenhao
Taniguchi, Yuta
Lu, Min
Konomi, Shin'ichi
2021 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2021), 2021, : 433 - 442
[4] Multi-Content GAN for Few-Shot Font Style Transfer
Azadil, Samaneh
Fisher, Matthew
Kim, Vladimir
Wang, Zhaowen
Shechtman, Eli
Darrell, Trevor
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2018, : 7564 - 7573
[5] Few-Shot Font Generation by Learning Style Difference and Similarity
He, Xiao
Zhu, Mingrui
Wang, Nannan
Gao, Xinbo
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 34 (09) : 8013 - 8025
[6] Few-shot Font Generation with Localized Style Representations and Factorization
Park, Song
Chun, Sanghyuk
Cha, Junbum
Lee, Bado
Shim, Hyunjung
THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 2393 - 2402
[7] Learning font-style space using style-guided discriminator for few-shot font generation
Ul Hassan, Ammar
Memon, Irfanullah
Choi, Jaeyoung
EXPERT SYSTEMS WITH APPLICATIONS, 2024, 242
[8] Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
Tang, Hao
Liu, Songhua
Lin, Tianwei
Huang, Shaoli
Li, Fu
He, Dongliang
Wang, Xinchao
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 18329 - 18338
[9] Layer similarity guiding few-shot Chinese style transfer
Li, Yumei
Lin, Guangfeng
He, Menglan
Yuan, Dan
Liao, Kaiyang
VISUAL COMPUTER, 2024, 40 (04): : 2265 - 2278
[10] Layer similarity guiding few-shot Chinese style transfer
Yumei Li
Guangfeng Lin
Menglan He
Dan Yuan
Kaiyang Liao
The Visual Computer, 2024, 40 : 2265 - 2278

← 1 2 3 4 5 →