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We present a novel CNN-based image editing strategy that allows the user to change the semantic information of an image over an arbitrary region by manipulating the feature-space representation of the image in a trained GAN model.
Poisson image editing
P. Pérez, M. Gangnet, and A. Blake · 2003
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Automated flower classification over a large number of classes
M.-E. Nilsback and A. Zisserman · 2008
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Building high-level features using large scale unsupervised learning
Q. V. Le, M. Ranzato, R. Monga, M. Devin, K. Chen, G. S. Corrado, J. Dean, and A. Y. Ng · 2012
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
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A neural algorithm of artistic style
L. A. Gatys, A. S. Ecker, and M. Bethge · 2015
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Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel · 2016
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Generating images with perceptual similarity metrics based on deep networks
A. Dosovitskiy and T. Brox · 2016
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Let there be color!: joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification
S. Iizuka, E. Simo-Serra, and H. Ishikawa · 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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Context encoders: Feature learning by inpainting
D. Pathak, P. Krahenbuhl, J. Donahue, T. Darrell, and A. A. Efros · 2016
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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2016
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Generative visual manipulation on the natural image manifold
J.-Y. Zhu, P. Krähenbühl, E. Shechtman, and A. A. Efros · 2016
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Neural photo editing with introspective adversarial networks
A. Brock, T. Lim, J. M. Ritchie, and N. Weston · 2017
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Modulating early visual processing by language
H. De Vries, F. Strub, J. Mary, H. Larochelle, O. Pietquin, and A. C. Courville · 2017
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A learned representation for artistic style
V. Dumoulin, J. Shlens, and M. Kudlur · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
C. Finn, P. Abbeel, and S. Levine · 2017
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Improved training of wasserstein gans
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. C. Courville · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
X. Huang and S. J. Belongie · 2017
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Globally and locally consistent image completion
S. Iizuka, E. Simo-Serra, and H. Ishikawa · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
P. Isola, J. Zhu, T. Zhou, and A. A. Efros · 2017
Cited alongside, same era.
Toward multimodal image-to-image translation
J.-Y. Zhu, R. Zhang, D. Pathak, T. Darrell, A. A. Efros, O. Wang, and E. Shechtman · 2017
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Large scale gan training for high fidelity natural image synthesis
A. Brock, J. Donahue, and K. Simonyan · 2018
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Multimodal unsupervised image-to-image translation
X. Huang, M.-Y. Liu, S. Belongie, and J. Kautz · 2018
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Progressive growing of GANs for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2018
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Generative semantic manipulation with mask-contrasting GAN
X. Liang, H. Zhang, L. Lin, and E. Xing · 2018
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Spectral normalization for generative adversarial networks
T. Miyato, T. Kataoka, M. Koyama, and Y. Yoshida · 2018
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Generative attribute controller with conditional filtered generative adversarial networks
T. Kaneko, K. Hiramatsu, and K. Kashino · 2017
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Visual attribute transfer through deep image analogy
J. Liao, Y. Yao, L. Yuan, G. Hua, and S. B. Kang · 2017
Cited alongside, same era.
Unsupervised image-to-image translation networks
M.-Y. Liu, T. Breuel, and J. Kautz · 2017
Cited alongside, same era.
Conditional image synthesis with auxiliary classifier GANs
A. Odena, C. Olah, and J. Shlens · 2017
Cited alongside, same era.
Scribbler: Controlling deep image synthesis with sketch and color
P. Sangkloy, J. Lu, C. Fang, F. Yu, and J. Hays · 2017
Cited alongside, same era.
Deep feature interpolation for image content changes
P. Upchurch, J. Gardner, G. Pleiss, R. Pless, N. Snavely, K. Bala, and K. Weinberger · 2017
Cited alongside, same era.
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cGANs with projection discriminator
T. Miyato and M. Koyama · 2018
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Rapid adaptation with conditionally shifted neurons
T. Munkhdalai, X. Yuan, S. Mehri, and A. Trischler · 2018
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Film: Visual reasoning with a general conditioning layer
E. Perez, F. Strub, H. De Vries, V. Dumoulin, and A. Courville · 2018
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High-resolution image synthesis and semantic manipulation with conditional GANs
T.-C. Wang, M.-Y. Liu, J.-Y. Zhu, A. Tao, J. Kautz, and B. Catanzaro · 2018
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Generative image inpainting with contextual attention
J. Yu, Z. Lin, J. Yang, X. Shen, X. Lu, and T. S. Huang · 2018
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Self-attention generative adversarial networks
H. Zhang, I. Goodfellow, D. Metaxas, and A. Odena · 2018
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GAN dissection: Visualizing and understanding generative adversarial networks
D. Bau, J.-Y. Zhu, H. Strobelt, B. Zhou, J. B. Tenenbaum, W. T. Freeman, and A. Torralba · 2019
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A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2019
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Semantic image synthesis with spatially-adaptive normalization
T. Park, M.-Y. Liu, T.-C. Wang, and J.-Y. Zhu · 2019
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