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Gram-based and patch-based approaches are two important research lines of style transfer.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Semantic style transfer and turning two-bit doodles into fine artworks
Alex J Champandard · 2016
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Fast patch-based style transfer of arbitrary style
Tian Qi Chen and Mark Schmidt · 2016
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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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Perceptual losses for real-time style transfer and super-resolution
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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Precomputed real-time texture synthesis with markovian generative adversarial networks
Chuan Li and Michael Wand · 2016
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Texture networks: Feed-forward synthesis of textures and stylized images
Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi, and Victor S Lempitsky · 2016
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Stylebank: An explicit representation for neural image style transfer
Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, and Gang Hua · 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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Demystifying neural style transfer
Yanghao Li, Naiyan Wang, Jiaying Liu, and Xiaodi Hou · 2017
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Diversified texture synthesis with feed-forward networks
Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, and Ming-Hsuan Yang · 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
Earlier work this paper cites.
Visual attribute transfer through deep image analogy
Jing Liao, Yuan Yao, Lu Yuan, Gang Hua, and Sing Bing Kang · 2017
Cited alongside, same era.
Improved texture networks: Maximizing quality and diversity in feed-forward stylization and texture synthesis
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2017
Cited alongside, same era.
Neural best-buddies: Sparse cross-domain correspondence
Kfir Aberman, Jing Liao, Mingyi Shi, Dani Lischinski, Baoquan Chen, and Daniel Cohen-Or · 2018
Cited alongside, same era.
Arbitrary style transfer with deep feature reshuffle
Shuyang Gu, Congliang Chen, Jing Liao, and Lu Yuan · 2018
Cited alongside, same era.
Avatar-net: Multi-scale zero-shot style transfer by feature decoration
Lu Sheng, Ziyi Lin, Jing Shao, and Xiaogang Wang · 2018
Cited alongside, same era.
The unreasonable effectiveness of deep features as a perceptual metric
Arbitrary style transfer via multi-adaptation network
Yingying Deng, Fan Tang, Weiming Dong, Wen Sun, Feiyue Huang, and Changsheng Xu · 2020
Later among the works it cites.
Dynamic instance normalization for arbitrary style transfer
Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, and Shilei Wen · 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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Glstylenet: exquisite style transfer combining global and local pyramid features
Zhizhong Wang, Lei Zhao, Sihuan Lin, Qihang Mo, Huiming Zhang, Wei Xing, and Dongming Lu · 2020
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Artflow: Unbiased image style transfer via reversible neural flows
Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, and Jiebo Luo · 2021
Closest in time.
Adaptive convolutions for structure-aware style transfer
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Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Cited alongside, same era.
Neural style transfer: A review
Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, and Mingli Song · 2019
Cited alongside, same era.
Style transfer by relaxed optimal transport and self-similarity
Nicholas Kolkin, Jason Salavon, and Gregory Shakhnarovich · 2019
Cited alongside, same era.
Learning linear transformations for fast image and video style transfer
Xueting Li, Sifei Liu, Jan Kautz, and Ming-Hsuan Yang · 2019
Cited alongside, same era.
A closed-form solution to universal style transfer
Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, and Li Zhang · 2019
Cited alongside, same era.
Arbitrary style transfer with style-attentional networks
Dae Young Park and Kwang Hee Lee · 2019
Cited alongside, same era.
Attention-aware multi-stroke style transfer
Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, and Jun Wang · 2019
Cited alongside, same era.
Prashanth Chandran, Gaspard Zoss, Paulo Gotardo, Markus Gross, and Derek Bradley · 2021
Closest in time.
Artistic style transfer with internal-external learning and contrastive learning
Haibo Chen, Lei Zhao, Zhizhong Wang, Huiming Zhang, Zhiwen Zuo, Ailin Li, Wei Xing, and Dongming Lu · 2021
Closest in time.
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 · 2021
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Style-aware normalized loss for improving arbitrary style transfer
Jiaxin Cheng, Ayush Jaiswal, Yue Wu, Pradeep Natarajan, and Prem Natarajan · 2021
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Drafting and revision: Laplacian pyramid network for fast high-quality artistic style transfer
Tianwei Lin, Zhuoqi Ma, Fu Li, Dongliang He, Xin Li, Errui Ding, Nannan Wang, Jie Li, and Xinbo Gao · 2021
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Adaattn: Revisit attention mechanism in arbitrary neural style transfer
Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Meiling Wang, Xin Li, Zhengxing Sun, Qian Li, and Errui Ding · 2021
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Evaluate and improve the quality of neural style transfer
Zhizhong Wang, Lei Zhao, Haibo Chen, Zhiwen Zuo, Ailin Li, Wei Xing, and Dongming Lu · 2021
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Texture reformer: Towards fast and universal interactive texture transfer
Zhizhong Wang, Lei Zhao, Haibo Chen, Ailin Li, Zhiwen Zuo, Wei Xing, and Dongming Lu · 2022
Closest in time.