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Universal style transfer (UST) infuses styles from arbitrary reference images into content images.
The discrete frequency fourier transform
W Jenkins and M Desai · 1986
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Digital image processing , pages 286–306
Rafael C. Gonzalez and Richard E. Woods · 2008
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Microsoft coco: Common objects in context, 2014
Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, and Piotr Dollár · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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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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European conference on computer vision
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Combining markov random fields and convolutional neural networks for image synthesis
Chuan Li and Michael Wand · 2016
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Painter by numbers
K . Nichol · 2016
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Stylebank: An explicit representation for neural image style transfer
D. Chen, L. Yuan, J. Liao, N. Yu, and G. Hua · 2017
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Learned representation for artistic style
V. Dumoulin, J. Shlens, and M. Kudlur.A · 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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A closed-form solution to photorealistic image stylization
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Avatar-net: Multi-scale zero-shot style transfer by feature decoration, 2018
Lu Sheng, Ziyi Lin, Jing Shao, and Xiaogang Wang · 2018
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Learning linear transformations for fast image and video style transfer
Xueting Li, Sifei Liu, Jan Kautz, and Ming-Hsuan Yang · 2019
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A closed-form solution to universal style transfer
Self-contained stylization via steganography for reverse and serial style transfer
Hung-Yu Chen, I-Sheng Fang, Chia-Ming Cheng, and Wei-Chen Chiu · 2020
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Diversified arbitrary style transfer via deep feature perturbation
Zhizhong Wang, Lei Zhao, Haibo Chen, Lihong Qiu, Qihang Mo, Sihuan Lin, Wei Xing, and Dongming Lu · 2020
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Fda: Fourier domain adaptation for semantic segmentation
Yanchao Yang and Stefano Soatto · 2020
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Adaptive convolutions for structure-aware style transfer
Prashanth Chandran, Gaspard Zoss, Paulo Gotardo, Markus Gross, and Derek Bradley · 2021
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Artistic style transfer with internal-external learning and contrastive learning
Haibo Chen, lei zhao, Zhizhong Wang, Huiming Zhang, Zhiwen Zuo, Wei Xing Ailin Li, and Dongming Lu · 2021
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Domain-aware universal style transfer
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Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, and Li Zhang · 2019
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Arbitrary style transfer with style-attentional networks
Dae Young Park and Kwang Hee Lee · 2019
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Photorealistic style transfer via wavelet transforms
Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, and Jung-Woo Ha · 2019
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Dualast: Dual style-learning networks for artistic style transfer
Haibo Chen, Lei Zhao, Zhizhong Wang, Huiming Zhang, Zhiwen Zuo, Ailin Li, Wei Xing, and Dongming Lu
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Diverse image style transfer via invertible cross-space mapping
Haibo Chen, Lei Zhao, Huiming Zhang, Zhizhong Wang, Zhiwen Zuo, Ailin Li, Wei Xing, and Dongming Lu
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Diversified texture synthesis with feed-forward networks
Y. Li, J. Fang, Z. Yang, X. Lu, and M.-H. Yang
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Universal style transfer via feature transforms
Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, and Ming-Hsuan Yang
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Kibeom Hong, Seogkyu Jeon, Huan Yang, Jianlong Fu, and Hyeran Byun · 2021
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Learning to warp for style transfer
Xiao-Chang Liu, Yong-Liang Yang, and Peter Hall · 2021
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Photowct 2 : Compact autoencoder for photorealistic style transfer resulting from blockwise training and skip connections of high-frequency residuals
Tai-Yin Chiu and Danna Gurari · 2022
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