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Automatically writing stylized Chinese characters is an attractive yet challenging task due to its wide applicabilities.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Separating style and content
Joshua B Tenenbaum and William T Freeman · 1997
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Indian script character recognition: a survey
U Pal and BB Chaudhuri · 2004
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Graphical models, exponential families, and variational inference
Martin J Wainwright, Michael I Jordan, et al · 2008
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Automatic generation of personal chinese handwriting by capturing the characteristics of personal handwriting
Songhua Xu, Tao Jin, Hao Jiang, and Francis CM Lau · 2009
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Deconvolutional networks
Matthew D Zeiler, Dilip Krishnan, Graham W Taylor, and Rob Fergus · 2010
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Generating sequences with recurrent neural networks
Alex Graves · 2013
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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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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Strokebank: Automating personalized chinese handwriting generation
Alfred Zong and Yuke Zhu · 2014
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Human-level concept learning through probabilistic program induction
Brenden M Lake, Ruslan Salakhutdinov, and Joshua B Tenenbaum · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser, and Jianxiong Xiao · 2015
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Deep learning face attributes in the wild
Xiaogang Wang Ziwei Liu, Ping Luo and Xiaoou Tang · 2015
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Automatic generation of large-scale handwriting fonts via style learning
Zhouhui Lian, Bo Zhao, and Jianguo Xiao · 2016
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Rewrite: Neural style transfer for chinese fonts, 2016
Yuchen Tian · 2016
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Handwritten chinese character recognition with spatial transformer and deep residual networks
Zhao Zhong, Xu-Yao Zhang, Fei Yin, and Cheng-Lin Liu · 2016
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Max-margin deep generative models for (semi-) supervised learning
Chongxuan Li, Jun Zhu, and Bo Zhang · 2017
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Zhusuan: A library for bayesian deep learning
Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, and Yuhao Zhou · 2017
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zi2zi: Master chinese calligraphy with conditional adversarial networks, 2017
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Jeff Donahue, Philipp Krähenbühl, and Trevor Darrell · 2016
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Adversarially learned inference
Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martin Arjovsky, Olivier Mastropietro, and Aaron Courville · 2016
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros · 2016
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Yuchen Tian · 2017
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Xuefeng Xiao, Lianwen Jin, Yafeng Yang, Weixin Yang, Jun Sun, and Tianhai Chang · 2017
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Drawing and recognizing chinese characters with recurrent neural network
Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu, and Yoshua Bengio · 2017
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