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Photorealistic image stylization concerns transferring style of a reference photo to a content photo with the constraint that the stylized photo should remain photorealistic.
Normalized cuts and image segmentation
Shi, J., Malik, J.: · 2000
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Color transfer between images
Reinhard, E., Ashikhmin, M., Gooch, B., Shirley, P.: · 2001
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Estimating the photorealism of images: Distinguishing paintings from photographs
Cutzu, F., Hammoud, R., Leykin, A.: · 2003
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Ranking on data manifolds
Zhou, D., Weston, J., Gretton, A., Bousquet, O., Schölkopf, B.: · 2004
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N-dimensional probability density function transfer and its application to color transfer
Pitié, F., Kokaram, A.C., Dahyot, R.: · 2005
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Self-tuning spectral clustering
Zelnik-Manor, L., Perona, P.: · 2005
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Two-scale tone management for photographic look
Bae, S., Paris, S., Durand, F.: · 2006
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A closed-form solution to natural image matting
Levin, A., Lischinski, D., Weiss, Y.: · 2008
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Multi-scale image harmonization
Sunkavalli, K., Johnson, M.K., Matusik, W., Pfister, H.: · 2010
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Object-to-object color transfer: Optimal flows and smsp transformations
Freedman, D., Kisilev, P.: · 2010
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Data-driven hallucination of different times of day from a single outdoor photo
Shih, Y., Paris, S., Durand, F., Freeman, W.T.: · 2013
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Content-based colour transfer
Wu, F., Dong, W., Kong, Y., Mei, X., Paul, J.C., Zhang, X.: · 2013
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Saliency detection via graph-based manifold ranking
Yang, C., Zhang, L., Lu, H., Ruan, X., Yang, M.H.: · 2013
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Guided image filtering
He, K., Sun, J., Tang, X.: · 2013
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Transient attributes for high-level understanding and editing of outdoor scenes
Laffont, P.Y., Ren, Z., Tao, X., Qian, C., Hays, J.: · 2014
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Style transfer for headshot portraits
Shih, Y., Paris, S., Barnes, C., Freeman, W.T., Durand, F.: · 2014
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Visualizing and understanding convolutional networks
Zeiler, M.D., Fergus, R.: · 2014
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Microsoft COCO: Common objects in context
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: · 2014
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Texture synthesis using convolutional neural networks
Gatys, L.A., Ecker, A.S., Bethge, M.: · 2015
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Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2015
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Learning deconvolution network for semantic segmentation
Noh, H., Hong, S., Han, B.: · 2015
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Holistically-nested edge detection
Xie, S., Tu, Z.: · 2015
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Stylebank: An explicit representation for neural image style transfer
Chen, D., Yuan, L., Liao, J., Yu, N., Hua, G.: · 2017
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A learned representation for artistic style
Dumoulin, V., Shlens, J., Kudlur, M.: · 2017
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Exploring the structure of a real-time, arbitrary neural artistic stylization network
Ghiasi, G., Lee, H., Kudlur, M., Dumoulin, V., Shlens, J.: · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Huang, X., Belongie, S.: · 2017
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Visual attribute transfer through deep image analogy
Liao, J., Yao, Y., Yuan, L., Hua, G., Kang, S.B.: · 2017
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Laplacian-steered neural style transfer
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Image style transfer using convolutional neural networks
Gatys, L.A., Ecker, A.S., Bethge, M.: · 2016
Cited alongside, same era.
Sky is not the limit: Semantic-aware sky replacement
Tsai, Y.H., Shen, X., Lin, Z., Sunkavalli, K., Yang, M.H.: · 2016
Cited alongside, same era.
Combining markov random fields and convolutional neural networks for image synthesis
Li, C., Wand, M.: · 2016
Cited alongside, same era.
Texture networks: Feed-forward synthesis of textures and stylized images
Ulyanov, D., Lebedev, V., Vedaldi, A., Lempitsky, V.: · 2016
Cited alongside, same era.
Perceptual losses for real-time style transfer and super-resolution
Johnson, J., Alahi, A., Fei-Fei, L.: · 2016
Cited alongside, same era.
Coupled generative adversarial networks
Liu, M.Y., Tuzel, O.: · 2016
Cited alongside, same era.
Li, S., Xu, X., Nie, L., Chua, T.S.: · 2017
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Photorealistic style transfer with screened poisson equation
Mechrez, R., Shechtman, E., Zelnik-Manor, L.: · 2017
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Image-to-image translation with conditional adversarial networks
Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: · 2017
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Unsupervised cross-domain image generation
Taigman, Y., Polyak, A., Wolf, L.: · 2017
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Learning from simulated and unsupervised images through adversarial training
Shrivastava, A., Pfister, T., Tuzel, O., Susskind, J., Wang, W., Webb, R.: · 2017
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Unsupervised image-to-image translation networks
Liu, M.Y., Breuel, T., Kautz, J.: · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: · 2017
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Controlling perceptual factors in neural style transfer
Gatys, L.A., Ecker, A.S., Bethge, M., Hertzmann, A., Shechtman, E.: · 2017
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High-resolution image synthesis and semantic manipulation with conditional gans
Wang, T.C., Liu, M.Y., Zhu, J.Y., Tao, A., Kautz, J., Catanzaro, B.: · 2018
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Multimodal unsupervised image-to-image translation
Huang, X., Liu, M.Y., Belongie, S., Kautz, J.: · 2018
Closest in time.