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Generating a new font library is a very labor-intensive and time-consuming job for glyph-rich scripts.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio · 2010
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Image style transfer using convolutional neural networks
Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2016
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Wasserstein generative adversarial networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Universal style transfer via feature transforms
Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, and Ming-Hsuan Yang · 2017
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Deep photo style transfer
Fujun Luan, Sylvain Paris, Eli Shechtman, and Kavita Bala · 2017
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Learning to write stylized chinese characters by reading a handful of examples
Danyang Sun, Tongzheng Ren, Chongxun Li, Hang Su, and Jun Zhu · 2017
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zi2zi: Master chinese calligraphy with conditional adversarial networks
Yuchen Tian · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Dualgan: Unsupervised dual learning for image-to-image translation
Zili Yi, Hao Zhang, Ping Tan, and Minglun Gong · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Multi-content gan for few-shot font style transfer
Samaneh Azadi, Matthew Fisher, Vladimir G Kim, Zhaowen Wang, Eli Shechtman, and Trevor Darrell · 2018
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Stargan: Unified generative adversarial networks for multi-domain image-to-image translation
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Uniter: Universal image-text representation learning
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, and Jingjing Liu · 2020
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Stargan v2: Diverse image synthesis for multiple domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2020
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Gan-based unpaired chinese character image translation via skeleton transformation and stroke rendering
Yiming Gao and Jiangqin Wu · 2020
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Rd-gan: few/zero-shot chinese character style transfer via radical decomposition and rendering
Yaoxiong Huang, Mengchao He, Lianwen Jin, and Yongpan Wang · 2020
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Oscar: Object-semantics aligned pre-training for vision-language tasks
Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, et al · 2020
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A closed-form solution to photorealistic image stylization
Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, and Jan Kautz · 2018
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A unified feature disentangler for multi-domain image translation and manipulation
Alexander H Liu, Yen-Cheng Liu, Yu-Ying Yeh, and Yu-Chiang Frank Wang · 2018
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Separating style and content for generalized style transfer
Yexun Zhang, Ya Zhang, and Wenbin Cai · 2018
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Artistic glyph image synthesis via one-stage few-shot learning
Yue Gao, Yuan Guo, Zhouhui Lian, Yingmin Tang, and Jianguo Xiao · 2019
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Scfont: Structure-guided chinese font generation via deep stacked networks
Yue Jiang, Zhouhui Lian, Yingmin Tang, and Jianguo Xiao · 2019
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Few-shot unsupervised image-to-image translation
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, and Jan Kautz · 2019
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A deep factorization of style and structure in fonts
Nikita Srivatsan, Jonathan T Barron, Dan Klein, and Taylor Berg-Kirkpatrick · 2019
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Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, and Hyunjung Shim · 2020
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Eca-net: Efficient channel attention for deep convolutional neural networks
Q. Wang, B. Wu, P. Zhu, P. Li, and Q. Hu · 2020
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Calligan: Style and structure-aware chinese calligraphy character generator
Shan-Jean Wu, Chih-Yuan Yang, and Jane Yung-jen Hsu · 2020
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Ernie-vil: Knowledge enhanced vision-language representations through scene graph
Fei Yu, Jiji Tang, Weichong Yin, Yu Sun, Hao Tian, Hua Wu, and Haifeng Wang · 2020
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Structurallm: Structural pre-training for form understanding
Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, and Luo Si · 2021
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Few-shot font style transfer between different languages
Chenhao Li, Yuta Taniguchi, Min Lu, and Shin’ichi Konomi · 2021
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Multiple heads are better than one: Few-shot font generation with multiple localized experts
Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, and Hyunjung Shim · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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Dg-font: Deformable generative networks for unsupervised font generation
Yangchen Xie, Xinyuan Chen, Li Sun, and Yue Lu · 2021
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Vinvl: Revisiting visual representations in vision-language models
Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, and Jianfeng Gao · 2021
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