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The seminal work of Gatys et al.
D. Chen, L. Yuan, J. Liao, N. Yu, and G. Hua, “Stylebank: An explicit representation for neural image style transfer,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2017, pp. 1897–1906
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A. A. Efros and T. K. Leung, “Texture synthesis by non-parametric sampling,” in Proceedings of the IEEE International Conference on Computer Vision , vol. 2. IEEE, 1999, pp. 1033–1038
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L.-Y. Wei and M. Levoy, “Fast texture synthesis using tree-structured vector quantization,” in Proceedings of the 27th annual conference on Computer graphics and interactive techniques . ACM Press/Addison-Wesley Publishing Co., 2000, pp. 479–488
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B. Gooch and A. Gooch, Non-photorealistic rendering . Natick, MA, USA: A. K. Peters, Ltd., 2001
2001
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A. A. Efros and W. T. Freeman, “Image quilting for texture synthesis and transfer,” in Proceedings of the 28th annual conference on Computer graphics and interactive techniques . ACM, 2001, pp. 341–346
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A. Hertzmann, C. E. Jacobs, N. Oliver, B. Curless, and D. H. Salesin, “Image analogies,” in Proceedings of the 28th annual conference on Computer graphics and interactive techniques . ACM, 2001, pp. 327–340
2001
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T. Strothotte and S. Schlechtweg, Non-photorealistic computer graphics: modeling, rendering, and animation . Morgan Kaufmann, 2002
2002
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B. Gooch, G. Coombe, and P. Shirley, “Artistic vision: painterly rendering using computer vision techniques,” in Proceedings of the 2nd international symposium on Non-photorealistic animation and rendering . ACM, 2002, pp. 83–ff
2002
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D. H. Salesin, “Non-photorealistic animation & rendering: 7 grand challenges,” Keynote talk at NPAR , 2002
2002
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I. Drori, D. Cohen-Or, and H. Yeshurun, “Example-based style synthesis,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , vol. 2. IEEE, 2003, pp. II–143
2003
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M. Ashikhmin, “Fast texture transfer,” IEEE Computer Graphics and Applications , no. 4, pp. 38–43, 2003
2003
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B. Gooch, E. Reinhard, and A. Gooch, “Human facial illustrations: Creation and psychophysical evaluation,” ACM Transactions on Graphics , vol. 23, no. 1, pp. 27–44, 2004
2004
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A. Kolliopoulos, “Image segmentation for stylized non-photorealistic rendering and animation,” Ph.D. dissertation, University of Toronto, 2005
2005
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H. Winnemöller, S. C. Olsen, and B. Gooch, “Real-time video abstraction,” in ACM Transactions On Graphics (TOG) , vol. 25, no. 3. ACM, 2006, pp. 1221–1226
2006
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T. Isenberg, P. Neumann, S. Carpendale, M. C. Sousa, and J. A. Jorge, “Non-photorealistic rendering in context: an observational study,” in Proceedings of the 4th international symposium on Non-photorealistic animation and rendering . ACM, 2006, pp. 115–126
2006
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X. Xie, F. Tian, and H. S. Seah, “Feature guided texture synthesis (fgts) for artistic style transfer,” in Proceedings of the 2nd international conference on Digital interactive media in entertainment and arts . ACM, 2007, pp. 44–49
2007
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Y.-Z. Song, P. L. Rosin, P. M. Hall, and J. Collomosse, “Arty shapes,” in Proceedings of the Fourth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging . Eurographics Association, 2008, pp. 65–72
2008
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L.-Y. Wei, S. Lefebvre, V. Kwatra, and G. Turk, “State of the art in example-based texture synthesis,” in Eurographics 2009, State of the Art Report, EG-STAR . Eurographics Association, 2009, pp. 93–117
2009
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A. A. Gooch, J. Long, L. Ji, A. Estey, and B. S. Gooch, “Viewing progress in non-photorealistic rendering through heinlein’s lens,” in Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering . ACM, 2010, pp. 165–171
2010
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D. DeCarlo and M. Stone, “Visual explanations,” in Proceedings of the 8th international symposium on non-photorealistic animation and rendering . ACM, 2010, pp. 173–178
2010
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A. Hertzmann, “Non-photorealistic rendering and the science of art,” in Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering . ACM, 2010, pp. 147–157
2010
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M. Zhao and S.-C. Zhu, “Portrait painting using active templates,” in Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non-Photorealistic Animation and Rendering . ACM, 2011, pp. 117–124
2011
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P. Rosin and J. Collomosse, Image and video-based artistic stylisation . Springer Science & Business Media, 2012, vol. 42
2012
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T. Gerstner, D. DeCarlo, M. Alexa, A. Finkelstein, Y. Gingold, and A. Nealen, “Pixelated image abstraction,” in Proceedings of the Symposium on Non-Photorealistic Animation and Rendering . Eurographics Association, 2012, pp. 29–36
2012
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J. E. Kyprianidis, J. Collomosse, T. Wang, and T. Isenberg, “State of the ‘art’: A taxonomy of artistic stylization techniques for images and video,” IEEE transactions on visualization and computer graphics , vol. 19, no. 5, pp. 866–885, 2013
2013
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P. Weinzaepfel, J. Revaud, Z. Harchaoui, and C. Schmid, “Deepflow: Large displacement optical flow with deep matching,” in Proceedings of the IEEE International Conference on Computer Vision . IEEE, 2013, pp. 1385–1392
2013
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Y. Bengio, A. Courville, and P. Vincent, “Representation learning: A review and new perspectives,” IEEE transactions on pattern analysis and machine intelligence , vol. 35, no. 8, pp. 1798–1828, 2013
2013
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2014
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I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, “Generative adversarial nets,” in Advances in neural information processing systems , 2014, pp. 2672–2680
2014
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T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, “Microsoft coco: Common objects in context,” in European conference on computer vision . Springer, 2014, pp. 740–755
2014
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D. Mould, “Authorial subjective evaluation of non-photorealistic images,” in Proceedings of the Workshop on Non-Photorealistic Animation and Rendering . ACM, 2014, pp. 49–56
2014
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C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus, “Intriguing properties of neural networks,” in International Conference on Learning Representations , 2014
2014
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L. A. Gatys, A. S. Ecker, and M. Bethge, “A neural algorithm of artistic style,” ArXiv e-prints , Aug. 2015
2015
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A. J. Champandard, “Deep forger: Paint photos in the style of famous artists,” 2015. [Online]. Available: http://deepforger.com
2015
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L. A. Gatys, A. S. Ecker, and M. Bethge, “Texture synthesis using convolutional neural networks,” in Advances in Neural Information Processing Systems , 2015, pp. 262–270
2015
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A. Mahendran and A. Vedaldi, “Understanding deep image representations by inverting them,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2015, pp. 5188–5196
2015
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A. Mordvintsev, C. Olah, and M. Tyka, “Inceptionism: Going deeper into neural networks,” 2015. [Online]. Available: https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html
2015
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V. M. Patel, R. Gopalan, R. Li, and R. Chellappa, “Visual domain adaptation: A survey of recent advances,” IEEE signal processing magazine , vol. 32, no. 3, pp. 53–69, 2015
2015
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A. Radford, L. Metz, and S. Chintala, “Unsupervised representation learning with deep convolutional generative adversarial networks,” ArXiv e-prints , Nov. 2015
2015
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J. Revaud, P. Weinzaepfel, Z. Harchaoui, and C. Schmid, “Epicflow: Edge-preserving interpolation of correspondences for optical flow,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2015, pp. 1164–1172
2015
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J. Johnson, “neural-style,” https://github.com/jcjohnson/neural-style
2015
Earlier work this paper cites.
I. J. Goodfellow, J. Shlens, and C. Szegedy, “Explaining and harnessing adversarial examples,” in International Conference on Learning Representations , 2015
2015
Cited alongside, same era.
W. Zhang, S. Xiao, and X. Shi, “Low-poly style image and video processing,” in Systems, Signals and Image Processing (IWSSIP), 2015 International Conference on . IEEE, 2015, pp. 97–100
2015
Cited alongside, same era.
L. A. Gatys, A. S. Ecker, and M. Bethge, “Image style transfer using convolutional neural networks,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 2414–2423
2016
Cited alongside, same era.
O. Frigo, N. Sabater, J. Delon, and P. Hellier, “Split and match: Example-based adaptive patch sampling for unsupervised style transfer,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 553–561
2016
Cited alongside, same era.
D. Chen, J. Liao, L. Yuan, N. Yu, and G. Hua, “Coherent online video style transfer,” in Proceedings of the IEEE International Conference on Computer Vision , 2017, pp. 1105–1114
2017
Closest in time.
G. Atarsaikhan, B. K. Iwana, A. Narusawa, K. Yanai, and S. Uchida, “Neural font style transfer,” in Proceedings of the IAPR International Conference on Document Analysis and Recognition , vol. 5. IEEE, 2017, pp. 51–56
2017
Closest in time.
S. Yang, J. Liu, Z. Lian, and Z. Guo, “Awesome typography: Statistics-based text effects transfer,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2017, pp. 7464–7473
2017
Closest in time.
F. Luan, S. Paris, E. Shechtman, and K. Bala, “Deep photo style transfer,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . IEEE, 2017, pp. 6997–7005
2017
Closest in time.
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I. Prisma Labs, “Prisma: Turn memories into art using artificial intelligence,” 2016. [Online]. Available: http://prisma-ai.com
2016
Cited alongside, same era.
“Ostagram,” 2016. [Online]. Available: http://ostagram.ru
2016
Cited alongside, same era.
——, “Visualizing deep convolutional neural networks using natural pre-images,” International Journal of Computer Vision , vol. 120, no. 3, pp. 233–255, 2016
2016
Cited alongside, same era.
A. Dosovitskiy and T. Brox, “Inverting visual representations with convolutional networks,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 4829–4837
2016
Cited alongside, same era.
——, “Generating images with perceptual similarity metrics based on deep networks,” in Advances in Neural Information Processing Systems , 2016, pp. 658–666
2016
Cited alongside, same era.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 770–778
2016
Cited alongside, same era.
C. Li and M. Wand, “Combining markov random fields and convolutional neural networks for image synthesis,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016, pp. 2479–2486
2016
Cited alongside, same era.
J. Johnson, A. Alahi, and L. Fei-Fei, “Perceptual losses for real-time style transfer and super-resolution,” in European Conference on Computer Vision , 2016, pp. 694–711
2016
Cited alongside, same era.
R. Mechrez, E. Shechtman, and L. Zelnik-Manor, “Photorealistic style transfer with screened poisson equation,” in Proceedings of the British Machine Vision Conference , 2017
2017
Closest in time.
L. Zhang, Y. Ji, and X. Lin, “Style transfer for anime sketches with enhanced residual u-net and auxiliary classifier gan,” in Proceedings of the Asian Conference on Pattern Recognition , 2017
2017
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J. Liao, Y. Yao, L. Yuan, G. Hua, and S. B. Kang, “Visual attribute transfer through deep image analogy,” ACM Transactions on Graphics (TOG) , vol. 36, no. 4, p. 120, 2017
2017
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S. Jiang and Y. Fu, “Fashion style generator,” in Proceedings of the 26th International Joint Conference on Artificial Intelligence . AAAI Press, 2017, pp. 3721–3727
2017
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P. Verma and J. O. Smith, “Neural style transfer for audio spectograms,” in Proceedings of the NIPS Workshop on Machine Learning for Creativity and Design , 2017
2017
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——, “Developing and applying a benchmark for evaluating image stylization,” Computers & Graphics , vol. 67, pp. 58–76, 2017
2017
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J. Wang, H. Jiang, Z. Yuan, M.-M. Cheng, X. Hu, and N. Zheng, “Salient object detection: A discriminative regional feature integration approach.” International Journal of Computer Vision , vol. 123, no. 2, 2017
2017
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P. L. Rosin, D. Mould, I. Berger, J. Collomosse, Y.-K. Lai, C. Li, H. Li, A. Shamir, M. Wand, T. Wang, and H. Winnemöller, “Benchmarking non-photorealistic rendering of portraits,” in Proceedings of the Symposium on Non-Photorealistic Animation and Rendering . ACM, 2017, p. 11
2017
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J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros, “Unpaired image-to-image translation using cycle-consistent adversarial networks,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2017, pp. 2223–2232
2017
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A. Semmo, M. Trapp, J. Döllner, and M. Klingbeil, “Pictory: Combining neural style transfer and image filtering,” in ACM SIGGRAPH 2017 Appy Hour . ACM, 2017, pp. 5:1–5:2
2017
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S. Pasewaldt, A. Semmo, M. Klingbeil, and J. Döllner, “Pictory - neural style transfer and editing with coreml,” in SIGGRAPH Asia 2017 Mobile Graphics & Interactive Applications . ACM, 2017, pp. 12:1–12:2
2017
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T. Dürschmid, M. Söchting, A. Semmo, M. Trapp, and J. Döllner, “Prosumerfx: Mobile design of image stylization components,” in SIGGRAPH Asia 2017 Mobile Graphics & Interactive Applications . ACM, 2017, pp. 1:1–1:8
2017
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B. J. Joshi, K. Stewart, and D. Shapiro, “Bringing impressionism to life with neural style transfer in come swim,” ArXiv e-prints , Jan. 2017
2017
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J. Ren, X. Shen, Z. Lin, R. Mech, and D. J. Foran, “Personalized image aesthetics,” in Proceedings of the IEEE International Conference on Computer Vision , 2017, pp. 638–647
2017
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B. M. Lake, T. D. Ullman, J. B. Tenenbaum, and S. J. Gershman, “Building machines that learn and think like people,” Behavioral and Brain Sciences , vol. 40, 2017
2017
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C. Wang, C. Wang, C. Xu, and D. Tao, “Tag disentangled generative adversarial networks for object image re-rendering,” in International Joint Conference on Artificial Intelligence , 2017
2017
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I. Higgins, L. Matthey, A. Pal, C. Burgess, X. Glorot, M. Botvinick, S. Mohamed, and A. Lerchner, “beta-vae: Learning basic visual concepts with a constrained variational framework,” in International Conference on Learning Representations , 2017
2017
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J. Cho, S. Yun, K. Lee, and J. Y. Choi, “Palettenet: Image recolorization with given color palette,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops , 2017, pp. 62–70
2017
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P. Upchurch, J. Gardner, G. Pleiss, R. Pless, N. Snavely, K. Bala, and K. Weinberger, “Deep feature interpolation for image content changes,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2017, pp. 7064–7073
2017
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I. Korshunova, W. Shi, J. Dambre, and L. Theis, “Fast face-swap using convolutional neural networks,” in Proceedings of the IEEE International Conference on Computer Vision , 2017, pp. 3677–3685
2017
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Y. Jing, Y. Liu, Y. Yang, Z. Feng, Y. Yu, D. Tao, and M. Song, “Stroke controllable fast style transfer with adaptive receptive fields,” in European Conference on Computer Vision , 2018
2018
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J. Ye, Z. Feng, Y. Jing, and M. Song, “Finer-net: Cascaded human parsing with hierarchical granularity,” in Proceedings of the IEEE International Conference on Multimedia and Expo . IEEE, 2018, pp. 1–6
2018
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H. Zhang, K. Dana, J. Shi, Z. Zhang, X. Wang, A. Tyagi, and A. Agrawal, “Context encoding for semantic segmentation,” in Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition . IEEE, 2018
2018
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R. Mechrez, I. Talmi, and L. Zelnik-Manor, “The contextual loss for image transformation with non-aligned data,” in European Conference on Computer Vision , 2018
2018
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D. Chen, L. Yuan, J. Liao, N. Yu, and G. Hua, “Stereoscopic neural style transfer,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2018
2018
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——, “Artistic style transfer for videos and spherical images,” International Journal of Computer Vision , 2018
2018
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S. Azadi, M. Fisher, V. Kim, Z. Wang, E. Shechtman, and T. Darrell, “Multi-content gan for few-shot font style transfer,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2018
2018
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Y. Li, M.-Y. Liu, X. Li, M.-H. Yang, and J. Kautz, “A closed-form solution to photorealistic image stylization,” in European Conference on Computer Vision , 2018
2018
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P. K. Mital, “Time domain neural audio style transfer,” in Proceedings of the NIPS Workshop on Machine Learning for Creativity and Design , 2018
2018
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H. Kim and A. Mnih, “Disentangling by factorising,” in International Conference on Machine Learning , 2018
2018
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Z. Feng, X. Wang, C. Ke, A. Zeng, D. Tao, and M. Song, “Dual swap disentangling,” in Advances in neural information processing systems , 2018
2018
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2018
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I. Higgins, N. Sonnerat, L. Matthey, A. Pal, C. P. Burgess, M. Botvinick, D. Hassabis, and A. Lerchner, “Scan: learning abstract hierarchical compositional visual concepts,” in International Conference on Learning Representations , 2018
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D. Bouchacourt, R. Tomioka, and S. Nowozin, “Multi-level variational autoencoder: Learning disentangled representations from grouped observations,” in AAAI Conference on Artificial Intelligence , 2018
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S. Meyer, V. Cornillère, A. Djelouah, C. Schroers, and M. Gross, “Deep video color propagation,” in Proceedings of the British Machine Vision Conference , 2018
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Q. Fan, D. Chen, L. Yuan, G. Hua, N. Yu, and B. Chen, “Decouple learning for parameterized image operators,” in European Conference on Computer Vision , 2018
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2018
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C. Chen, X. Tan, and K.-Y. K. Wong, “Face sketch synthesis with style transfer using pyramid column feature,” in IEEE Winter Conference on Applications of Computer Vision . Lake Tahoe, USA, 2018
2018
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