# Typography Research Collection
[[hackmd]](https://hackmd.io/s/B1BZCZpPX)[[github]](https://github.com/IShengFang/TypographyResearchCollection)[[github pages]](https://ishengfang.github.io/TypographyResearchCollection/)
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.
If you discover relevant new work, please feel free to contact the major maintainer, [I-Sheng Fang](https://ishengfang.github.io/). 🙂
## Contents
- [Large Language Model](#large-language-model)
- [Vision Language Model](#vision-language-model)
- [Visual Text Generation and Editing](#visual-text-generation-and-editing)
- [Font Stye Transfer and Glyph Generation](#font-stye-transfer-and-glyph-generation)
- [NN Approach](#nn-approach)
- [Other Approach](#other-approach)
- [Struture Learning](#struture-learning)
- [Dataset](#dataset)
- [Other Application](#other-application)
## Large Language Model
### 2025
- **Font-Agent: Enhancing Font Understanding with Large Language Models**
- Yingxin Lai · Cuijie Xu · Haitian Shi · Guoqing Yang · Xiaoning Li · Zhiming Luo · Shaozi Li
- CVPR 2025
- [[CVF]](https://openaccess.thecvf.com/content/CVPR2025/html/Lai_Font-Agent_Enhancing_Font_Understanding_with_Large_Language_Models_CVPR_2025_paper.html)
## Vision Language Model
- **FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applications**
- Yuki Tatsukawa, I-Chao Shen, Anran Qi, Yuki Koyama, Takeo Igarashi, Ariel Shamir
- Eurographics 2024
- [[project page]](https://yukistavailable.github.io/fontclip.github.io/)[[paper]](https://jdily.github.io/resource/fontclip/fontCLIP_paper_open.pdf)[[arxiv]](https://arxiv.org/abs/2403.06453)[[code]](https://github.com/yukistavailable/FontCLIP)
## Visual Text Generation and Editing
### 2025
- **TextMaster: A Unified Framework for Realistic Text Editing via Glyph-Style Dual-Control**
- Zhenyu Yan, Jian Wang, Aoqiang Wang, Yuhan Li, Wenxiang Shang, Ran Lin
- ICCV 2025
- [[Paper]](https://arxiv.org/abs/2410.09879)
- **FonTS: Text Rendering with Typography and Style Controls**
- Wenda Shi, Yiren Song, Dengming Zhang, Jiaming Liu, Xingxing Zou
- ICCV 2025
- [[Paper]](https://arxiv.org/abs/2412.00136)[[Project Page]](https://wendashi.github.io/FonTS-Page/)[[Code]](https://github.com/ArtmeScienceLab/FonTS)[[Model]](https://huggingface.co/SSS/FonTS-SCA)[[Dataset]](https://huggingface.co/datasets/SSS/SC-artext)
- **FontAnimate: High Quality Few-shot Font Generation via Animating Font Transfer Process**
- Bin Fu · Zixuan Wang · Kainan Yan · Shitian Zhao · Qi Qin · Jie Wen · Junjun He · Peng Gao
- ICCV 2025
- **OracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic Typography**
- Caoshuo Li, Zengmao Ding, Xiaobin Hu, Bang Li, Donghao Luo, AndyPian Wu, Chaoyang Wang, Chengjie Wang, Taisong Jin, SevenShu, Yunsheng Wu, Yongge Liu, Rongrong Ji
- ICCV 2025
- [[Paper]](https://arxiv.org/abs/2506.21101)[[Code]](https://github.com/lcs0215/OracleFusion)
- **Dynamic Typography: Bringing Text to Life via Video Diffusion Prior**
- Zichen Liu*, Yihao Meng*, Hao Ouyang, Yue Yu, Bolin Zhao, Daniel Cohen-Or, Huamin Qu
- ICCV 2025
- [[Paper]](https://arxiv.org/abs/2404.11614)[[Project Page]](https://animate-your-word.github.io/demo/)[[Code]](https://github.com/zliucz/animate-your-word)
- **FLUX-Text: A Simple and Advanced Diffusion Transformer Baseline for Scene Text Editing**
- Rui Lan*, Yancheng Bai*, Xu Duan, Mingxing Li, Dongyang Jin, Ryan Xu, Lei Sun, Xiangxiang Chu
- [[Paper]](https://arxiv.org/abs/2505.03329)[[Project Page]](https://amap-ml.github.io/FLUX-text/)[[Model]](https://huggingface.co/GD-ML/FLUX-Text)
- **GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing**
- Tong Wang, Ting Liu, Xiaochao Qu, Chengjing Wu, Luoqi Liu, Xiaolin Hu
- CVPR 2025
- [[Paper]](https://arxiv.org/abs/2505.04915)
### 2024
- **Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering**
- Zeyu Liu, Weicong Liang, Yiming Zhao, Bohan Chen, Lin Liang, Lijuan Wang, Ji Li, Yuhui Yuan
- [[Paper]](https://arxiv.org/abs/2406.10208)[[Project Page]](https://glyph-byt5-v2.github.io/)
- **Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering**
- Zeyu Liu, Weicong Liang, Zhanhao Liang, Chong Luo, Ji Li, Gao Huang, Yuhui Yuan
- [[Paper]](https://arxiv.org/abs/2403.09622)[[Project Page]](https://glyph-byt5.github.io/)
- **GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models**
- Jian Ma, Yonglin Deng, Chen Chen, Nanyang Du, Haonan Lu, Zhenyu Yang
- [[Paper]](https://arxiv.org/abs/2407.02252)[[Code]](https://github.com/OPPO-Mente-Lab/GlyphDraw2)
- **MATIC: Multilingual Accurate Textual Image Customization via Joint Generative Artificial Intelligence**
- Chiao-Hsin Wu, I-Wei Lai
- PacificVis 2025 Short Paper (Visnote) Track
- **AnyText: Multilingual Visual Text Generation And Editing**
- Yuxiang Tuo, Wangmeng Xiang, Jun-Yan He, Yifeng Geng∗, Xuansong Xie
- ICLR 2024
- [[paper]](https://arxiv.org/abs/2311.03054)[[code]](https://github.com/tyxsspa/AnyText?tab=readme-ov-file)[[demo]](https://modelscope.cn/studios/damo/studio_anytext/summary)
### 2023
- **GlyphControl: Glyph Conditional Control for Visual Text Generation**
- Yukang Yang, Dongnan Gui, Yuhui Yuan, Weicong Liang, Haisong Ding, Han Hu, Kai Chen
- NeurIPS 2023
- [[paper]](https://arxiv.org/pdf/2305.18259.pdf)[[code]](https://github.com/AIGText/GlyphControl-release)
- **DiffUTE: Universal Text Editing Diffusion Model**
- Haoxing Chen, Zhuoer Xu1, Zhangxuan Gu*, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang
- ∗Corresponding author
- NeurIPS 2023
- [[paper]](https://arxiv.org/abs/2305.10825)[[code]](https://github.com/chenhaoxing/DiffUTE/tree/main)
- **TextDiffuser: Diffusion Models as Text Painters**
- Jingye Chen*, Yupan Huang*, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei
- *Equal Contribution
- NeurIPS 2023
- [[project page]](https://jingyechen.github.io/textdiffuser/)[[paper]](https://arxiv.org/abs/2305.10855)[[code]](https://github.com/microsoft/unilm/tree/master/textdiffuser)[[demo]](https://huggingface.co/spaces/JingyeChen22/TextDiffuser)[[colab]](https://colab.research.google.com/drive/115Qw0l5dhjlTtrbywMWRwhz9IxKE4_Dg?usp=sharing)
- **GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently**
- Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin
- arxiv 2023
- [[project page]](https://1073521013.github.io/glyph-draw.github.io/)[[paper]](https://arxiv.org/abs/2303.17870)[[code]](https://github.com/1073521013/GlyphDraw)
- **DeepFloyd IF**
- Inspired by "Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding", NeurIPS2022
- aka Imagen
- [[code]](https://github.com/deep-floyd/IF?tab=readme-ov-file)
- **Character-Aware Models Improve Visual Text Rendering**
- arxiv
- Rosanne Liu∗, Dan Garrette∗, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi, Noah Constant∗
- *Equal contribution
- [[paper]](https://arxiv.org/pdf/2212.10562.pdf)
- **OCR-VQGAN: Taming Text-within-Image Generation**
- Juan A. Rodríguez, David Vázquez, Issam Laradji, Marco Pedersoli, Pau Rodríguez
- WACV2023
- [[paper(CVF)]](https://openaccess.thecvf.com/content/WACV2023/papers/Rodriguez_OCR-VQGAN_Taming_Text-Within-Image_Generation_WACV_2023_paper.pdf)[[paper(arxiv)]](https://arxiv.org/abs/2210.11248)[[code]](https://github.com/joanrod/ocr-vqgan)
## Font Stye Transfer and Glyph Generation
### NN Approach
#### 2025
- **Zero-Shot Styled Text Image Generation, but Make It Autoregressive**
- Vittorio Pippi1∗, Fabio Quattrini1∗, Silvia Cascianelli, Alessio Tonioni, Rita Cucchiara
- CVPR 2025
- [[arxiv]](https://arxiv.org/abs/2503.17074)[[CVF]](https://openaccess.thecvf.com/content/CVPR2025/html/Pippi_Zero-Shot_Styled_Text_Image_Generation_but_Make_It_Autoregressive_CVPR_2025_paper.html)
#### 2024
- **TypeDance: Creating Semantic Typographic Logos from Image through Personalized Generation**
- Shishi Xiao, Liangwei Wang, Xiaojuan Ma, Wei Zeng
- CHI 2024
- [[arxiv]](https://arxiv.org/abs/2401.11094) [[code]](https://github.com/SerendipitysX/TypeDance)
- **Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models**
- Bin Fu, Fanghua Yu, Anran Liu, Zixuan Wang, Jie Wen, Junjun He, Yu Qiao
- [CVPR 2024](https://cvpr.thecvf.com/virtual/2024/poster/30809)
- [[CVF]](https://openaccess.thecvf.com/content/CVPR2024/html/Fu_Generate_Like_Experts_Multi-Stage_Font_Generation_by_Incorporating_Font_Transfer_CVPR_2024_paper.html)[[code]](https://github.com/fubinfb/MSD-Font)
- **VecFusion: Vector Font Generation with Diffusion**
- Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michael Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis
- [CVPR 2024](https://cvpr.thecvf.com/virtual/2024/poster/30338)
- [[arxiv]](https://arxiv.org/abs/2312.10540) [[project page]](https://vikastmz.github.io/VecFusion/)
- **FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning**
- Zhenhua Yang, Dezhi Peng, Yuxin Kong, Yuyi Zhang, Cong Yao, Lianwen Jin
- AAAI 2024
- [[project page]](https://yeungchenwa.github.io/fontdiffuser-homepage/)[[arxiv]](https://arxiv.org/abs/2312.12142)[[code]](https://github.com/yeungchenwa/FontDiffuser)[[demo]](https://huggingface.co/spaces/yeungchenwa/FontDiffuser-Gradio)
#### 2023
- **DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion**
- Maham Tanveer, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang
- ICCV2023
- [[project page]](https://ds-fusion.github.io/)[[paper]](https://arxiv.org/abs/2303.09604)[[code]](https://github.com/tmaham/DS-Fusion) [[demo]](https://huggingface.co/spaces/tmaham/DS-Fusion-Express)
- **Word-As-Image for Semantic Typography**
- Shir Iluz*, Yael Vinker*, Amir Hertz, Daniel Berio, Daniel Cohen-Or, Ariel Shamir
- *Denotes equal contribution
- SIGGRAPH 2023 - Honorable Mention Award
- [[project page]](https://wordasimage.github.io/Word-As-Image-Page/)[[paper]](https://arxiv.org/abs/2303.01818)[[code]](https://github.com/WordAsImage/Word-As-Image)[[demo]](https://huggingface.co/spaces/SemanticTypography/Word-As-Image)
- **DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality**
- Yuqing Wang, Yizhi Wang, Longhui Yu, Yuesheng Zhu, Zhouhui Lian
- CVPR 2023
- [[paper(CVPR)]](https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_DeepVecFont-v2_Exploiting_Transformers_To_Synthesize_Vector_Fonts_With_Higher_Quality_CVPR_2023_paper.pdf)[[code]](https://arxiv.org/abs/2303.14585)
#### 2022
- **StrokeStyles: Stroke-based Segmentation and Stylization of Fonts**
- Daniel Berio, Frederic Fol Leymarie, Paul Asente, Jose Echevarria
- ACM Transactions on Graphics Volume 41 Issue 3 Article No.: 28 pp 1–21
- [[paper]](https://dl.acm.org/doi/10.1145/3505246)
#### 2021
- **DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning**
- Yizhi Wang, Zhouhui Lian
- SIGGRAPH Asia 2021
- [[project page]](https://yizhiwang96.github.io/deepvecfont_homepage/)[[code]](https://github.com/yizhiwang96/deepvecfont)[[paper]](https://arxiv.org/abs/2110.06688)
- **DG-Font: Deformable Generative Networks for Unsupervised Font Generation**
- Yangchen Xie, Xinyuan Chen, Li Sun, Yue Lu
- [[paper(CVPR)]](https://openaccess.thecvf.com/content/CVPR2021/html/Xie_DG-Font_Deformable_Generative_Networks_for_Unsupervised_Font_Generation_CVPR_2021_paper.html)[[paper(arxiv)]](https://arxiv.org/abs/2104.03064)[[code]](https://github.com/ecnuycxie/DG-Font)
- CVPR2021
- **Multiple Heads are Better than One:Few-shot Font Generation with Multiple Localized Experts**
- Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
- [[paper]](https://arxiv.org/abs/2104.00887)[[code]](https://github.com/clovaai/mxfont)
- ICCV 2021
- **Font Style that Fits an Image -- Font Generation Based on Image Context**
- [[paper]](https://arxiv.org/abs/2105.08879)[[code]](https://github.com/Taylister/FontFits)
- Taiga Miyazono, Brian Kenji Iwana, Daichi Haraguchi, and Seiichi Uchida
- arxiv 2021
- **Few-shot Font Generation with Localized Style Representations and Factorization**
- Song Park*, Sanghyuk Chun*, Junbum Cha, Bado Lee, Hyunjung Shim1
- *: equal contribution
- [[project page]](https://cvml.yonsei.ac.kr/projects/few-shot-font-generation) [[paper]](https://arxiv.org/abs/2009.11042)[[code]](https://github.com/clovaai/lffont)
- AAAI 2021
- **Handwritten Chinese Font Generation with Collaborative Stroke Refinement**
- [[paper]](https://arxiv.org/abs/1904.13268)[[WACV2021]](https://openaccess.thecvf.com/content/WACV2021/html/Wen_Handwritten_Chinese_Font_Generation_With_Collaborative_Stroke_Refinement_WACV_2021_paper.html)[[code(dead)]](https://github.com/s024/fontml-research)
- Chuan Wen, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian
- WACV 2021
#### 2020
- **RD-GAN: Few/Zero-Shot Chinese Character Style Transfer via Radical Decomposition and Rendering**
- Yaoxiong Huang, Mengchao He, Lianwen Jin, Yongpan Wang
- [[paper(ECVA)]](https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/4880_ECCV_2020_paper.php)
- ECCV 2020
- **Few-shot Compositional Font Generation with Dual Memory**
- Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee.
- [[paper]](https://arxiv.org/abs/2005.10510) [[code]](https://github.com/clovaai/dmfont)
- ECCV 2020
- **CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator**
- [[paper]](https://arxiv.org/abs/2005.12500)[[code]](https://github.com/JeanWU/CalliGAN)
- Shan-Jean Wu, Chih-Yuan Yang and Jane Yung-jen Hsu
- AI for Content Creation Workshop CVPR 2020.
#### 2019
- **A Learned Representation for Scalable Vector Graphics**
- [[paper]](https://arxiv.org/abs/1904.02632)
- Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens
- ICCV 2019
- ICLR workshop 2019
- **Large-scale Tag-based Font Retrieval with Generative Feature Learning**
- [[paper]](https://arxiv.org/abs/1909.02072)[[page]](https://www.cs.rochester.edu/u/tchen45/font/font.html)
- Tianlang Chen, Zhaowen Wang, Ning Xu, Hailin Jin, Jiebo Luo
- ICCV 2019
- **DynTypo: Example-based Dynamic Text Effects Transfer**
- [[paper]](http://www.icst.pku.edu.cn/zlian/docs/2019-04/20190418093151169110.pdf)
- 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>
- **Typography with Decor: Intelligent Text Style Transfer**
- Wenjing Wang, Jiaying Liu, Shuai Yang, and Zongming Guo
- CVPR2019
- [[project page]](https://daooshee.github.io/Typography2019/) [[paper]](https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Typography_With_Decor_Intelligent_Text_Style_Transfer_CVPR_2019_paper.pdf) [[code]](https://github.com/daooshee/Typography-with-Decor)
- **DeepGlyph**
- [[websites]](https://deepglyph.app/)
- <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>
- **TET-GAN: Text Effects Transfer via Stylization and Destylization**
- [[paper]](https://www.aaai.org/ojs/index.php/AAAI/article/view/3919)
- Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo
- AAAI2019
- **SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks**
- [[paper]](https://aaai.org/ojs/index.php/AAAI/article/view/4294)
- Yue Jiang, Zhouhui Lian*, Yingmin Tang, Jianguo Xiao
- AAAI 2019
#### 2018
- **Coconditional Autoencoding Adversarial Networks for Chinese Font Feature Learning**
- [[paper]](https://arxiv.org/abs/1812.04451)
- arxiv 2018
- Zhizhan Zheng, Feiyun Zhang
- **Separating Style and Content for Generalized Style Transfer**
- [[paper]](http://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Separating_Style_and_CVPR_2018_paper.html)[[code]](https://github.com/zhyxun/Separating-Style-and-Content-for-Generalized-Style-Transfer)
- Yexun Zhang, Ya Zhang, Wenbin Cai
- CVPR 2018
- Networks
- results
- **Deep Learning for Classical Japanese Literature**
- [[paper]](https://arxiv.org/abs/1812.01718)[[GitHub]](https://github.com/rois-codh/kmnist)
- Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto, Alex Lamb, Kazuaki Yamamoto, David Ha
- NeurIPS 2018
- Kuzushiji-MNIST,Kuzushiji-49 and Kuzushiji-Kanji
- Kuzushiji-MNIST
- Kuzushiji-Kanji
- **Multi-Content GAN for Few-Shot Font Style Transfer**
- [[code]](https://github.com/azadis/MC-GAN)[[paper]](https://arxiv.org/abs/1712.00516)[[blog]](https://bair.berkeley.edu/blog/2018/03/13/mcgan/)
- Azadi, Samaneh, Matthew Fisher, Vladimir Kim, Zhaowen Wang, Eli Shechtman, and Trevor Darrell.
- CVPR2018
- **Learning to Write Stylized Chinese Characters by Reading a Handful of Examples**
- [[paper]](https://www.ijcai.org/proceedings/2018/0128.pdf)
- Danyang Sun∗, Tongzheng Ren∗, Chongxuan Li, Hang Su†, Jun Zhu†
- IJCAI 2018
- SA-VAE
#### 2017
- **DCFont: An End-To-End Deep Chinese Font Generation System**
- [[paper]](http://www.icst.pku.edu.cn/zlian/docs/20181024110234919639.pdf)
- Juncheng Liu, Zhouhui Lian, Jianguo Xiao
- SIGGRAPH Asia 2017
- **zi2zi: Master Chinese Calligraphy with Conditional Adversarial Networks**
- [[blog]](https://kaonashi-tyc.github.io/2017/04/06/zi2zi.html) [[code(TensorFlow)]](https://github.com/kaonashi-tyc/zi2zi) [[code(pytorch)(xuan-li)]](https://github.com/xuan-li/zi2zi-pytorch) [[code(pytorch)( EuphoriaYan)]](https://github.com/EuphoriaYan/zi2zi-pytorch)
- Yuchen Tian
- 2017
#### 2016
- **Rewrite: Neural Style Transfer For Chinese Fonts**
- [[code]](https://github.com/kaonashi-tyc/Rewrite)
- Yuchen Tian
- 2016
- **Automatic generation of large-scale handwriting fonts via style learning**
- [[paper]](https://dl.acm.org/citation.cfm?id=3005371)
- Zhouhui Lian, Bo Zhao, and Jianguo Xiao
- SIGGRAPH ASIA 2016
- **A Book from the Sky 天书: Exploring the Latent Space of Chinese Handwriting**
- [[blog]](http://genekogan.com/works/a-book-from-the-sky/)
- [Gene Kogan](http://genekogan.com/)
#### 1993
- **Letter Spirit: An Emergent Model of the Perception and Creation of Alphabetic Style**
- [[paper]](https://pdfs.semanticscholar.org/e03a/21a4dfaa34b3d43ab967a01d7d9f6f7adccf.pdf)
- Douglas Hofstadter, Gary McGraw
- 1993
### Other Approach
- **Automatic Generation of Typographic Font from a Small Font Subset**
- [[paper]](https://arxiv.org/abs/1701.05703)
- Tomo Miyazaki, Tatsunori Tsuchiya, Yoshihiro Sugaya, Shinichiro Omachi, Masakazu Iwamura, Seiichi Uchida, Koichi Kise
- 2017
- **Awesome Typography: Statistics-Based Text Effects Transfer**
- [[paper]](https://arxiv.org/pdf/1611.09026.pdf)[[code]](https://github.com/williamyang1991/Text-Effects-Transfer)
- Shuai Yang, Jiaying Liu, Zhouhui Lian and Zongming Guo
- CVPR 2017
- **FlexyFont: Learning Transferring Rules for Flexible Typeface Synthesis**
- [[paper]](https://doi.org/10.1111/cgf.12763)
- H. Q. Phan, H. Fu, and A. B. Chan
- 2015 Computer Graphics Forum
- **Automatic shape morphing for Chinese characters**
- [[paper]](https://dl.acm.org/citation.cfm?id=2407748)
- Zhouhui Lian, and Zhouhui Lian
- SIGGRAPH Asia 2012
- 
- **Easy generation of personal Chinese handwritten fonts**
- [[paper]](https://ieeexplore.ieee.org/document/6011892/)
- Baoyao Zhou, Weihong Wang, and Zhanghui Chen
- 2011 ICME(IEEE International Conference on Multimedia and Expo)
## Struture Learning
- **Deep Factorization of Style and Structure in Fonts**
- [[paper]](https://arxiv.org/abs/1910.00748)
- Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick
- EMNLP 2019
- **Analyzing 50k fonts using deep neural networks**
- [[blog]](https://erikbern.com/2016/01/21/analyzing-50k-fonts-using-deep-neural-networks.html)
- [Erik Bernhardsson](https://erikbern.com/about.html)
- 2016
- **Learning a Manifold of Fonts**
- [[paper]](http://vecg.cs.ucl.ac.uk/Projects/projects_fonts/papers/siggraph14_learning_fonts.pdf)[[project(demo)]](http://vecg.cs.ucl.ac.uk/Projects/projects_fonts/projects_fonts.html)
- Neill D.F. Campbell, and Jan Kautz
- SIGGRAPH 2014
## Dataset
- **Chinese Handwriting Recognition Competition 2013**
- [[paper]](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&ved=2ahUKEwipwtmZ3NXdAhUJyrwKHYBuAp4QFjACegQIAxAC&url=http%3A%2F%2Fblog.sciencenet.cn%2Fhome.php%3Fmod%3Dattachment%26id%3D48833&usg=AOvVaw3z6eOWVROK6CCdPly6Te5n)[[download]](http://www.nlpr.ia.ac.cn/databases/handwriting/Download.html)
- **Deep Learning for Classical Japanese Literature**
- [[paper]](https://arxiv.org/abs/1812.01718)[[GitHub]](https://github.com/rois-codh/kmnist)
- Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto, Alex Lamb, Kazuaki Yamamoto, David Ha
- NeurIPS 2018
- Kuzushiji-MNIST,Kuzushiji-49 and Kuzushiji-Kanji
- Kuzushiji-MNIST
- Kuzushiji-Kanji
## Other Application
- **FontCode: Embedding Information in Text Documents Using Glyph Perturbation**
- [[paper]](http://www.cs.columbia.edu/cg/fontcode/fontcode.pdf)[[project page]](http://www.cs.columbia.edu/cg/fontcode/)
- 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>
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