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In this paper, we investigate deep image synthesis guided by sketch, color, and texture.
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X. Liang, S. Liu, X. Shen, J. Yang, L. Liu, J. Dong, L. Lin, and S. Yan · 2015
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Human parsing with contextualized convolutional neural network
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A. Radford, L. Metz, and S. Chintala · 2015
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K. Simonyan and A. Zisserman · 2015
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S. Xie and Z. Tu · 2015
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Image style transfer using convolutional neural networks
L. A. Gatys, A. S. Ecker, and M. Bethge · 2016
Conditional image synthesis with auxiliary classifier gans
A. Odena, C. Olah, and J. Shlens · 2016
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Generative adversarial text to image synthesis
S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee · 2016
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D. Ulyanov, V. Lebedev, A. Vedaldi, and V. Lempitsky · 2016
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Pixel-level domain transfer
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Colorful image colorization
R. Zhang, P. Isola, and A. A. Efros · 2016
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Generative visual manipulation on the natural image manifold
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Controlling perceptual factors in neural style transfer
L. A. Gatys, A. S. Ecker, M. Bethge, A. Hertzmann, and E. Shechtman · 2016
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Convolutional sketch inversion
Y. Güçlütürk, U. Güçlü, R. van Lier, and M. A. van Gerven · 2016
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Image-to-image translation with conditional adversarial networks
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Texture synthesis with spatial generative adversarial networks
N. Jetchev, U. Bergmann, and R. Vollgraf · 2016
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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
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Learning representations for automatic colorization
G. Larsson, M. Maire, and G. Shakhnarovich · 2016
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Learning texture manifolds with the periodic spatial gan
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