[hackmd][github] [github pages]
Typography is the cross between technology and liberal arts. This page is a research collection that includes computer graphics, computer vision, machine learning that related to typography.
- DG-Font: Deformable Generative Networks for Unsupervised Font Generation
- Yangchen Xie, Xinyuan Chen, Li Sun, Yue Lu
- [paper(CVPR)][paper(arxiv)][code]
- CVPR2021
- Multiple Heads are Better than One:Few-shot Font Generation with Multiple Localized Experts
- Font Style that Fits an Image -- Font Generation Based on Image Context
- Few-shot Font Generation with Localized Style Representations and Factorization
- Song Park*, Sanghyuk Chun*, Junbum Cha, Bado Lee, Hyunjung Shim1
- *: equal contribution
- [project page] [paper][code]
- AAAI 2021
- Song Park*, Sanghyuk Chun*, Junbum Cha, Bado Lee, Hyunjung Shim1
- Handwritten Chinese Font Generation with Collaborative Stroke Refinement
- [paper][WACV2021][code(dead)]
- Chuan Wen, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian
- WACV 2021
- RD-GAN: Few/Zero-Shot Chinese Character Style Transfer via Radical Decomposition and Rendering
- Yaoxiong Huang, Mengchao He, Lianwen Jin, Yongpan Wang
- [paper(ECVA)]
- ECCV 2020
- Few-shot Compositional Font Generation with Dual Memory
- CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator
- A Learned Representation for Scalable Vector Graphics
- [paper]
- Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens
- ICCV 2019
- ICLR workshop 2019
-
Large-scale Tag-based Font Retrieval with Generative Feature Learning
-
DynTypo: Example-based Dynamic Text Effects Transfer
- [paper]
- Yifang Men, Zhouhui Lian, Yingmin Tang, Jianguo Xiao
- CVPR 2019
- <iframe width="560" height="315" src="https://www.youtube.com/embed/FkFQ6bV1s-o" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-
DeepGlyph
- [websites]
- <iframe width="560" height="315" src="https://www.youtube.com/embed/T70k-0qgccs" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-
Coconditional Autoencoding Adversarial Networks for Chinese Font Feature Learning
- [paper]
- arxiv 2018
- Zhizhan Zheng, Feiyun Zhang
-
TET-GAN: Text Effects Transfer via Stylization and Destylization
- [paper]
- Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo
- AAAI2019
- SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks
- [paper]
- Yue Jiang, Zhouhui Lian*, Yingmin Tang, Jianguo Xiao
- AAAI 2019
-
Separating Style and Content for Generalized Style Transfer
-
Deep Learning for Classical Japanese Literature
-
Multi-Content GAN for Few-Shot Font Style Transfer
-
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples
- [paper]
- Danyang Sun∗, Tongzheng Ren∗, Chongxuan Li, Hang Su†, Jun Zhu†
- IJCAI 2018
- SA-VAE
- DCFont: An End-To-End Deep Chinese Font Generation System
- [paper]
- Juncheng Liu, Zhouhui Lian, Jianguo Xiao
- SIGGRAPH Asia 2017
-
zi2zi: Master Chinese Calligraphy with Conditional Adversarial Networks
- [blog] [code(TensorFlow)] [code(pytorch)(xuan-li)] [code(pytorch)( EuphoriaYan)]
- Yuchen Tian
- 2017
-
Rewrite: Neural Style Transfer For Chinese Fonts
- [code]
- Yuchen Tian
- 2016
-
Automatic generation of large-scale handwriting fonts via style learning
- [paper]
- Zhouhui Lian, Bo Zhao, and Jianguo Xiao
- SIGGRAPH ASIA 2016
- A Book from the Sky 天书: Exploring the Latent Space of Chinese Handwriting
- Letter Spirit: An Emergent Model of the Perception and Creation of Alphabetic Style
- [paper]
- Douglas Hofstadter, Gary McGraw
- 1993
-
Automatic Generation of Typographic Font from a Small Font Subset
- [paper]
- Tomo Miyazaki, Tatsunori Tsuchiya, Yoshihiro Sugaya, Shinichiro Omachi, Masakazu Iwamura, Seiichi Uchida, Koichi Kise
- 2017
-
FlexyFont: Learning Transferring Rules for Flexible Typeface Synthesis
- [paper]
- H. Q. Phan, H. Fu, and A. B. Chan
- 2015 Computer Graphics Forum
-
Awesome Typography: Statistics-Based Text Effects Transfer
-
Easy generation of personal Chinese handwritten fonts
- [paper]
- Baoyao Zhou, Weihong Wang, and Zhanghui Chen
- 2011 ICME(IEEE International Conference on Multimedia and Expo)
-
Automatic shape morphing for Chinese characters
- [paper]
- Zhouhui Lian, and Zhouhui Lian
- SIGGRAPH Asia 2012
-
Analyzing 50k fonts using deep neural networks
- [blog]
- Erik Bernhardsson
- 2016
-
Learning a Manifold of Fonts
- [paper][project(demo)]
- Neill D.F. Campbell, and Jan Kautz
- SIGGRAPH 2014
- Chinese Handwriting Recognition Competition 2013
- Deep Learning for Classical Japanese Literature
- FontCode: Embedding Information in Text Documents Using Glyph Perturbation
- [paper][project page]
- Chang Xiao, Cheng Zhang, Changxi Zheng
- SIGGRAPH 2018
- <iframe width="560" height="315" src="https://www.youtube.com/embed/dejrBf9jW24" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
- CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator
- A Learned Representation for Scalable Vector Graphics
- [paper]
- Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens
- ICCV 2019
- ICLR workshop 2019
-
Large-scale Tag-based Font Retrieval with Generative Feature Learning
-
DynTypo: Example-based Dynamic Text Effects Transfer
- [paper]
- Yifang Men, Zhouhui Lian, Yingmin Tang, Jianguo Xiao
- CVPR 2019
- <iframe width="560" height="315" src="https://www.youtube.com/embed/FkFQ6bV1s-o" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-
DeepGlyph
- [websites]
- <iframe width="560" height="315" src="https://www.youtube.com/embed/T70k-0qgccs" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
-
Coconditional Autoencoding Adversarial Networks for Chinese Font Feature Learning
- [paper]
- arxiv 2018
- Zhizhan Zheng, Feiyun Zhang
-
TET-GAN: Text Effects Transfer via Stylization and Destylization
- [paper]
- Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo
- AAAI2019
-
SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks
- [paper]
- Yue Jiang, Zhouhui Lian*, Yingmin Tang, Jianguo Xiao
- AAAI 2019
-
Separating Style and Content for Generalized Style Transfer
-
Deep Learning for Classical Japanese Literature
-
Multi-Content GAN for Few-Shot Font Style Transfer
-
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples
- [paper]
- Danyang Sun∗, Tongzheng Ren∗, Chongxuan Li, Hang Su†, Jun Zhu†
- IJCAI 2018
- SA-VAE
-
DCFont: An End-To-End Deep Chinese Font Generation System
- [paper]
- Juncheng Liu, Zhouhui Lian, Jianguo Xiao
- SIGGRAPH Asia 2017
-
zi2zi: Master Chinese Calligraphy with Conditional Adversarial Networks
- [blog] [code(TensorFlow)] [code(pytorch)(xuan-li)] [code(pytorch)( EuphoriaYan)]
- Yuchen Tian
- 2017
-
Rewrite: Neural Style Transfer For Chinese Fonts
- [code]
- Yuchen Tian
- 2016
-
Automatic generation of large-scale handwriting fonts via style learning
- [paper]
- Zhouhui Lian, Bo Zhao, and Jianguo Xiao
- SIGGRAPH ASIA 2016
- A Book from the Sky 天书: Exploring the Latent Space of Chinese Handwriting
- Letter Spirit: An Emergent Model of the Perception and Creation of Alphabetic Style
- [paper]
- Douglas Hofstadter, Gary McGraw
- 1993
-
Automatic Generation of Typographic Font from a Small Font Subset
- [paper]
- Tomo Miyazaki, Tatsunori Tsuchiya, Yoshihiro Sugaya, Shinichiro Omachi, Masakazu Iwamura, Seiichi Uchida, Koichi Kise
- 2017
-
FlexyFont: Learning Transferring Rules for Flexible Typeface Synthesis
- [paper]
- H. Q. Phan, H. Fu, and A. B. Chan
- 2015 Computer Graphics Forum
-
Awesome Typography: Statistics-Based Text Effects Transfer
-
Easy generation of personal Chinese handwritten fonts
- [paper]
- Baoyao Zhou, Weihong Wang, and Zhanghui Chen
- 2011 ICME(IEEE International Conference on Multimedia and Expo)
-
Automatic shape morphing for Chinese characters
- [paper]
- Zhouhui Lian, and Zhouhui Lian
- SIGGRAPH Asia 2012
-
Analyzing 50k fonts using deep neural networks
- [blog]
- Erik Bernhardsson
- 2016
-
Learning a Manifold of Fonts
- [paper][project(demo)]
- Neill D.F. Campbell, and Jan Kautz
- SIGGRAPH 2014
- Chinese Handwriting Recognition Competition 2013
- Deep Learning for Classical Japanese Literature
- FontCode: Embedding Information in Text Documents Using Glyph Perturbation
- [paper][project page]
- Chang Xiao, Cheng Zhang, Changxi Zheng
- SIGGRAPH 2018
- <iframe width="560" height="315" src="https://www.youtube.com/embed/dejrBf9jW24" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>