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Automatic few-shot font generation is a practical and widely studied problem because manual designs are expensive and sensitive to the expertise of designers.
Separating style and content with bilinear models
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Slowing Down the Weight Norm Increase in Momentum-based Optimizers
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Exact matrix completion via convex optimization
Candès, E. J.; and Recht, B. 2009 · 2009
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A singular value thresholding algorithm for matrix completion
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Adam: A method for stochastic optimization
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Image Style Transfer Using Convolutional Neural Networks
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Deep Residual Learning for Image Recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
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Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization
Huang, X.; and Belongie, S. J. 2017 · 2017
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Image-to-Image Translation with Conditional Adversarial Networks
Isola, P.; Zhu, J.-Y.; Zhou, T.; and Efros, A. A. 2017 · 2017
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Universal Style Transfer via Feature Transforms
Li, Y.; Fang, C.; Yang, J.; Wang, Z.; Lu, X.; and Yang, M.-H. 2017 · 2017
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Deep Photo Style Transfer
Luan, F.; Paris, S.; Shechtman, E.; and Bala, K. 2017 · 2017
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zi2zi: Master Chinese Calligraphy with Conditional Adversarial Networks
Tian, Y. 2017 · 2017
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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Zhu, J.-Y.; Park, T.; Isola, P.; and Efros, A. A. 2017 · 2017
Cited alongside, same era.
Multi-Content GAN for Few-Shot Font Style Transfer
Azadi, S.; Fisher, M.; Kim, V. G.; Wang, Z.; Shechtman, E.; and Darrell, T. 2018 · 2018
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StarGAN: Unified generative adversarial networks for multi-domain image-to-image translation
Choi, Y.; Choi, M.; Kim, M.; Ha, J.-W.; Kim, S.; and Choo, J. 2018 · 2018
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NSML: Meet the MLaaS platform with a real-world case study
Kim, H.; Kim, M.; Seo, D.; Kim, J.; Park, H.; Park, S.; Jo, H.; Kim, K.; Yang, Y.; Kim, Y.; et al. 2018 · 2018
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A Closed-form Solution to Photorealistic Image Stylization
Li, Y.; Liu, M.-Y.; Li, X.; Yang, M.-H.; and Kautz, J. 2018 · 2018
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Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Gao, Y.; Guo, Y.; Lian, Z.; Tang, Y.; and Xiao, J. 2019 · 2019
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SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks
Jiang, Y.; Lian, Z.; Tang, Y.; and Xiao, J. 2019 · 2019
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Few-Shot Unsupervised Image-to-Image Translation
Liu, M.-Y.; Huang, X.; Mallya, A.; Karras, T.; Aila, T.; Lehtinen, J.; and Kautz, J. 2019 · 2019
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A Deep Factorization of Style and Structure in Fonts
Srivatsan, N.; Barron, J.; Klein, D.; and Berg-Kirkpatrick, T. 2019 · 2019
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Photorealistic Style Transfer via Wavelet Transforms
Yoo, J.; Uh, Y.; Chun, S.; Kang, B.; and Ha, J.-W. 2019 · 2019
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Multi-mapping image-to-image translation via learning disentanglement
Yu, X.; Chen, Y.; Liu, S.; Li, T.; and Li, G. 2019 · 2019
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A unified feature disentangler for multi-domain image translation and manipulation
Liu, A. H.; Liu, Y.-C.; Yeh, Y.-Y.; and Wang, Y.-C. F. 2018 · 2018
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Learning to Write Stylized Chinese Characters by Reading a Handful of Examples
Sun, D.; Ren, T.; Li, C.; Su, H.; and Zhu, J. 2018 · 2018
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Cbam: Convolutional block attention module
Woo, S.; Park, J.; Lee, J.-Y.; and So Kweon, I. 2018 · 2018
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Zhang, R.; Isola, P.; Efros, A. A.; Shechtman, E.; and Wang, O. 2018 · 2018
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Separating Style and Content for Generalized Style Transfer
Zhang, Y.; Zhang, Y.; and Cai, W. 2018 · 2018
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GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Cao, Y.; Xu, J.; Lin, S.; Wei, F.; and Hu, H. 2019 · 2019
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An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
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CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Yun, S.; Han, D.; Oh, S. J.; Chun, S.; Choe, J.; and Yoo, Y. 2019 · 2019
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Self-Attention Generative Adversarial Networks
Zhang, H.; Goodfellow, I.; Metaxas, D.; and Odena, A. 2019 · 2019
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StarGAN v2: Diverse image synthesis for multiple domains
Choi, Y.; Uh, Y.; Yoo, J.; and Ha, J.-W. 2020 · 2020
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GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering
Gao, Y.; and Wu, J. 2020 · 2020
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RD-GAN: Few/Zero-Shot Chinese Character Style Transfer via Radical Decomposition and Rendering
Huang, Y.; He, M.; Jin, L.; and Wang, Y. 2020 · 2020
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CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator
Wu, S.-J.; Yang, C.-Y.; and Hsu, J. Y.-j. 2020 · 2020
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