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We propose spatially-adaptive normalization, a simple but effective layer for synthesizing photorealistic images given an input semantic layout.
Image analogies
A. Hertzmann, C. E. Jacobs, N. Oliver, B. Curless, and D. H. Salesin · 2001
Earlier work this paper cites.
Semantic photo synthesis
M. Johnson, G. J. Brostow, J. Shotton, O. Arandjelovic, V. Kwatra, and R. Cipolla · 2006
Earlier work this paper cites.
Scene completion using millions of photographs
J. Hays and A. A. Efros · 2007
Earlier work this paper cites.
Photo clip art
J.-F. Lalonde, D. Hoiem, A. A. Efros, C. Rother, J. Winn, and A. Criminisi · 2007
Earlier work this paper cites.
Sketch2photo: internet image montage
T. Chen, M.-M. Cheng, P. Tan, A. Shamir, and S.-M. Hu · 2009
Earlier work this paper cites.
Photosketch: A sketch based image query and compositing system
T. B. Mathias Eitz, Kristian Hildebrand and M. Alexa · 2009
Earlier work this paper cites.
Understanding the difficulty of training deep feedforward neural networks
X. Glorot and Y. Bengio · 2010
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Earlier work this paper cites.
Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
Earlier work this paper cites.
J. L. Ba, J. R. Kiros, and G. E. Hinton · 2016
Earlier work this paper cites.
The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
Earlier work this paper cites.
A learned representation for artistic style
V. Dumoulin, J. Shlens, and M. Kudlur · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
Learning to generate images of outdoor scenes from attributes and semantic layouts
L. Karacan, Z. Akata, A. Erdem, and E. Erdem · 2016
Earlier work this paper cites.
Generative adversarial text to image synthesis
S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee · 2016
Earlier work this paper cites.
Weight normalization: A simple reparameterization to accelerate training of deep neural networks
T. Salimans and D. P. Kingma · 2016
Cited alongside, same era.
Instance normalization: The missing ingredient for fast stylization. arxiv 2016
D. Ulyanov, A. Vedaldi, and V. Lempitsky · 2016
Cited alongside, same era.
Wasserstein generative adversarial networks
M. Arjovsky, S. Chintala, and L. Bottou · 2017
Cited alongside, same era.
Photographic image synthesis with cascaded refinement networks
Q. Chen and V. Koltun · 2017
Cited alongside, same era.
Modulating early visual processing by language
H. De Vries, F. Strub, J. Mary, H. Larochelle, O. Pietquin, and A. C. Courville · 2017
Cited alongside, same era.
GANs trained by a two time-scale update rule converge to a local Nash equilibrium
Inferring semantic layout for hierarchical text-to-image synthesis
S. Hong, D. Yang, J. Choi, and H. Lee · 2018
Later among the works it cites.
Multimodal unsupervised image-to-image translation
X. Huang, M.-Y. Liu, S. Belongie, and J. Kautz · 2018
Later among the works it cites.
Manipulating attributes of natural scenes via hallucination
L. Karacan, Z. Akata, A. Erdem, and E. Erdem · 2018
Later among the works it cites.
Which training methods for gans do actually converge?
L. Mescheder, A. Geiger, and S. Nowozin · 2018
Later among the works it cites.
Spectral normalization for generative adversarial networks
T. Miyato, T. Kataoka, M. Koyama, and Y. Yoshida · 2018
Later among the works it cites.
cGANs with projection discriminator
T. Miyato and M. Koyama · 2018
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M. Heusel, H. Ramsauer, T. Unterthiner, B. Nessler, and S. Hochreiter · 2017
Cited alongside, same era.
Arbitrary style transfer in real-time with adaptive instance normalization
X. Huang and S. Belongie · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
Cited alongside, same era.
J. H. Lim and J. C. Ye · 2017
Cited alongside, same era.
Unsupervised image-to-image translation networks
M.-Y. Liu, T. Breuel, and J. Kautz · 2017
Cited alongside, same era.
Least squares generative adversarial networks
X. Mao, Q. Li, H. Xie, Y. R. Lau, Z. Wang, and S. P. Smolley · 2017
Cited alongside, same era.
Conditional image synthesis with auxiliary classifier GANs
A. Odena, C. Olah, and J. Shlens · 2017
Cited alongside, same era.
Later among the works it cites.
Deeplab-pytorch
K. Nakashima · 2018
Later among the works it cites.
Semi-parametric image synthesis
X. Qi, Q. Chen, J. Jia, and V. Koltun · 2018
Later among the works it cites.
Video-to-video synthesis
T.-C. Wang, M.-Y. Liu, J.-Y. Zhu, G. Liu, A. Tao, J. Kautz, and B. Catanzaro · 2018
Later among the works it cites.
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
Later among the works it cites.
Recovering realistic texture in image super-resolution by deep spatial feature transform
X. Wang, K. Yu, C. Dong, and C. Change Loy · 2018
Later among the works it cites.
Group normalization
Y. Wu and K. He · 2018
Later among the works it cites.
Unified perceptual parsing for scene understanding
T. Xiao, Y. Liu, B. Zhou, Y. Jiang, and J. Sun · 2018
Later among the works it cites.
Attngan: Fine-grained text to image generation with attentional generative adversarial networks
T. Xu, P. Zhang, Q. Huang, H. Zhang, Z. Gan, X. Huang, and X. He · 2018
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Stackgan++: Realistic image synthesis with stacked generative adversarial networks
H. Zhang, T. Xu, H. Li, S. Zhang, X. Wang, X. Huang, and D. Metaxas · 2018
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Large scale gan training for high fidelity natural image synthesis
A. Brock, J. Donahue, and K. Simonyan · 2019
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On self modulation for generative adversarial networks
T. Chen, M. Lucic, N. Houlsby, and S. Gelly · 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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Self-attention generative adversarial networks
H. Zhang, I. Goodfellow, D. Metaxas, and A. Odena · 2019
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Image generation from layout
B. Zhao, L. Meng, W. Yin, and L. Sigal · 2019
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