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We propose a new approach for synthesizing fully detailed art-stylized images from sketches.
Theory and philosophy of art: Style, artist, and society. Volume 4
Schapiro, M., Schapiro, M., Schapiro, M., Schapiro, M.: · 1994
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Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: · 2014
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U-Net: Convolutional networks for biomedical image segmentation
Ronneberger, O., Fischer, P., Brox, T.: · 2015
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Imagenet large scale visual recognition challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al.: · 2015
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Image style transfer using convolutional neural networks
Gatys, L.A., Ecker, A.S., Bethge, M.: · 2016
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Instance normalization: The missing ingredient for fast stylization
Ulyanov, D., Vedaldi, A., Lempitsky, V.: · 2016
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Perceptual losses for real-time style transfer and super-resolution
Johnson, J., Alahi, A., Fei-Fei, L.: · 2016
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2016
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Elgammal, A., Liu, B., Elhoseiny, M., Mazzone, M.: · 2017
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Style transfer for anime sketches with enhanced residual u-net and auxiliary classifier gan
Zhang, L., Ji, Y., Lin, X., Liu, C.: · 2017
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Scribbler: Controlling deep image synthesis with sketch and color
Sangkloy, P., Lu, J., Fang, C., Yu, F., Hays, J.: · 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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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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Unsupervised image-to-image translation networks
Liu, M.Y., Breuel, T., Kautz, J.: · 2017
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Dualgan: Unsupervised dual learning for image-to-image translation
Yi, Z., Zhang, H., Tan, P., Gong, M.: · 2017
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Toward multimodal image-to-image translation
Zhu, J.Y., Zhang, R., Pathak, D., Darrell, T., Efros, A.A., Wang, O., Shechtman, E.: · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Huang, X., Belongie, S.: · 2017
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Neural style transfer: A review
Jing, Y., Yang, Y., Feng, Z., Ye, J., Yu, Y., Song, M.: · 2017
Multimodal unsupervised image-to-image translation
Huang, X., Liu, M.Y., Belongie, S., Kautz, J.: · 2018
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Augmented cycleGAN: Learning many-to-many mappings from unpaired data
Almahairi, A., Rajeswar, S., Sordoni, A., Bachman, P., Courville, A.: · 2018
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Diverse image-to-image translation via disentangled representations
Lee, H.Y., Tseng, H.Y., Huang, J.B., Singh, M., Yang, M.H.: · 2018
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Multi-style generative network for real-time transfer
Zhang, H., Dana, K.: · 2018
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Two-stage sketch colorization
Zhang, L., Li, C., Wong, T.T., Ji, Y., Liu, C.: · 2018
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Squeeze-and-excitation networks
Hu, J., Shen, L., Sun, G.: · 2018
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Liu, Y., Qin, Z., Luo, Z., Wang, H.: · 2017
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GANs trained by a two time-scale update rule converge to a local nash equilibrium
Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: · 2017
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The shape of art history in the eyes of the machine
Elgammal, A., Mazzone, M., Liu, B., Kim, D., Elhoseiny, M.: · 2018
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Finding principal semantics of style in art
Kim, D., Liu, B., Elgammal, A., Mazzone, M.: · 2018
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Sketchygan: Towards diverse and realistic sketch to image synthesis
Chen, W., Hays, J.: · 2018
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StarGAN: Unified generative adversarial networks for multi-domain image-to-image translation
Choi, Y., Choi, M., Kim, M., Ha, J.W., Kim, S., Choo, J.: · 2018
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Semantic image synthesis with spatially-adaptive normalization
Park, T., Liu, M.Y., Wang, T.C., Zhu, J.Y.: · 2019
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Style and content disentanglement in generative adversarial networks
Kazemi, H., Iranmanesh, S.M., Nasrabadi, N.: · 2019
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A style-based generator architecture for generative adversarial networks
Karras, T., Laine, S., Aila, T.: · 2019
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Neural style transfer: A review
Jing, Y., Yang, Y., Feng, Z., Ye, J., Yu, Y., Song, M.: · 2019
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Time: Text and image mutual-translation adversarial networks
Liu, B., Song, K., Zhu, Y., de Melo, G., Elgammal, A.: · 2020
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S3vae: Self-supervised sequential vae for representation disentanglement and data generation
Zhu, Y., Min, M.R., Kadav, A., Graf, H.P.: · 2020
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