2023
(CVPR 2023) “CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer” ｜ Paper ｜ Code

(CVPR 2023) “Neural Preset for Color Style Transfer” ｜ Paper ｜ Code

(ICCV 2023) “Stylediffusion: Controllable disentangled style transfer via diffusion models.” | Paper | [Code]

(AAAI 2023) “AdaCM: adaptive ColorMLP for real-time universal photo-realistic style transfer” | Paper | [Code]

(NN 2023) Zhang, Yuqi, Yingjie Tian, and Junjie Hou. “CSAST: Content self-supervised and style contrastive learning for arbitrary style transfer.” Neural Networks 164 (2023): 146-155. | Paper |

2022
(SIGGRAPH 2022) “Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning” | Paper | Code | Video

(CVPR 2022) “StyTr^2 : Image Style Transfer with Transformers” | Paper | Code

(ACM ICMM 2022) Wang, Zhizhong, et al. “AesUST: towards aesthetic-enhanced universal style transfer.” Proceedings of the 30th ACM International Conference on Multimedia. 2022. Paper | 解读

2021
(ICCV 2021) “Domain Aware Universal Style Transfer” | Paper | Code

2020
(AAAI 2020) “Ultrafast photorealistic style transfer via neural architecture search” | Paper | Code

(CVPR 2020) “Collaborative distillation for ultra-resolution universal style transfer” | Paper | Code

Chang, Hsin-Yu, Zhixiang Wang, and Yung-Yu Chuang. “Domain-specific mappings for generative adversarial style transfer.” Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VIII 16. Springer International Publishing, 2020.| [Paper] | [Code] | 解读

(AAAI 2020) Jing, Yongcheng, et al. “Dynamic instance normalization for arbitrary style transfer.” Proceedings of the AAAI conference on artificial intelligence. Vol. 34. No. 04. 2020. | Paper | [Code]

(NN 2020) Ma, Zhuoqi, et al. “Image style transfer with collection representation space and semantic-guided reconstruction.” Neural Networks 129 (2020): 123-137. | Paper | [Code]

(ECCV 2020) Zhao, Junjie, et al. “Deep image clustering with category-style representation.” Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XIV 16. Springer International Publishing, 2020.| Paper | [Code]

2019
(ICCV 2019) “Photorealistic style transfer via wavelet transforms” | Paper | Code

2018
(ECCV 2018) “A Closed-Form Solution to Photorealistic Image Stylization” | Paper | Code

2017
(NIPS 2017) “Universal Style Transfer via Feature Transforms” | Paper | Code

(ICCV 2017) Huang, Xun, and Serge Belongie. “Arbitrary style transfer in real-time with adaptive instance normalization.” Proceedings of the IEEE international conference on computer vision. 2017. | Paper | Code

2016
(CVPR 2016) “Image style transfer using convolutional neural networks” | [Paper] | [Code]

2015
(2015) “A Neural Algorithm of Artistic Style”(Gatys) | Paper | Code

Others:
Zhang, Yabin, et al. “Exact feature distribution matching for arbitrary style transfer and domain generalization.” Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2022.

Zhang, Chi, Yixin Zhu, and Song-Chun Zhu. “Metastyle: Three-way trade-off among speed, flexibility, and quality in neural style transfer.” Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33. No. 01. 2019.

Jing, Yongcheng, et al. “Neural style transfer: A review.” IEEE transactions on visualization and computer graphics 26.11 (2019): 3365-3385.

Cheng, Ming-Ming, et al. “Structure-preserving neural style transfer.” IEEE Transactions on Image Processing 29 (2019): 909-920.

Li, Yanghao, et al. “Demystifying neural style transfer.” arXiv preprint arXiv:1701.01036 (2017). | Paper

Johnson, Justin, Alexandre Alahi, and Li Fei-Fei. “Perceptual losses for real-time style transfer and super-resolution.” Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II 14. Springer International Publishing, 2016.

Li, Chuan, and Michael Wand. “Combining markov random fields and convolutional neural networks for image synthesis.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.

Datasets:

  1. COCO2014
  2. WoloArt Code

Segment:
Segment anything … Fast Code

AdaIN:

Chandran, Prashanth, et al. “Adaptive convolutions for structure-aware style transfer.” Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2021. Paper

Karras, Tero, Samuli Laine, and Timo Aila. “A style-based generator architecture for generative adversarial networks.” Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2019. Paper

Histogram Loss Code
风格迁移(Style Transfer)中直方图匹配(Histogram Match)的作用

Text Style Transfer:
Yang, Yazheng, Zhou Zhao, and Qi Liu. “MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer.” Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2023. Paper

Style Representation:
Carney, James D. “Representation and style.” Philosophy and Phenomenological Research 53.4 (1993): 811-828. | Paper

Audio Style Transfer:
Zhang, Ya-Jie, et al. “Learning latent representations for style control and transfer in end-to-end speech synthesis.” ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. Paper

sample:
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