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Generative Adversarial Networks (GANs) can produce images of remarkable complexity and realism but are generally structured to sample from a single latent source ignoring the explicit spatial interaction between multiple entities that could be present in a scene.
Multi-scale image harmonization
K. Sunkavalli, M. K. Johnson, W. Matusik, and H. Pfister · 2010
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Understanding and improving the realism of image composites
S. Xue, A. Agarwala, J. Dorsey, and H. Rushmeier · 2012
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Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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ShapeNet: An Information-Rich 3D Model Repository
A. X. Chang, T. Funkhouser, L. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, and F. Yu · 2015
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Deep generative image models using a laplacian pyramid of adversarial networks
E. L. Denton, S. Chintala, A. Szlam, and R. Fergus · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Spatial transformer networks
M. Jaderberg, K. Simonyan, A. Zisserman, et al · 2015
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Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
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Learning a discriminative model for the perception of realism in composite images
J.-Y. Zhu, P. Krahenbuhl, E. Shechtman, and A. A. Efros · 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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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
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NIPS 2016 tutorial: Generative adversarial networks
I. Goodfellow · 2016
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Photo-realistic single image super-resolution using a generative adversarial network
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Coupled generative adversarial networks
M.-Y. Liu and O. Tuzel · 2016
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Conditional image synthesis with auxiliary classifier gans
A. Odena, C. Olah, and J. Shlens · 2016
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Context encoders: Feature learning by inpainting
D. Pathak, P. Krähenbühl, J. Donahue, T. Darrell, and 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 adversarial text-to-image synthesis
Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
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Progressive growing of gans for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2017
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Deep laplacian pyramid networks for fast and accurate super-resolution
W.-S. Lai, J.-B. Huang, N. Ahuja, and M.-H. Yang · 2017
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Unsupervised image-to-image translation networks
M.-Y. Liu, T. Breuel, and J. Kautz · 2017
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Deep image harmonization
Y.-H. Tsai, X. Shen, Z. Lin, K. Sunkavalli, X. Lu, and M.-H. Yang · 2017
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High-resolution image synthesis and semantic manipulation with conditional gans
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S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee · 2016
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Learning what and where to draw
S. E. Reed, Z. Akata, S. Mohan, S. Tenka, B. Schiele, and H. Lee · 2016
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Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Colorful image colorization
R. Zhang, P. Isola, and A. A. Efros · 2016
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View synthesis by appearance flow
T. Zhou, S. Tulsiani, W. Sun, J. Malik, and A. A. Efros · 2016
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Data augmentation generative adversarial networks
A. Antoniou, A. Storkey, and H. Edwards · 2017
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Multi-content gan for few-shot font style transfer
S. Azadi, M. Fisher, V. Kim, Z. Wang, E. Shechtman, and T. Darrell · 2017
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T.-C. Wang, M.-Y. Liu, J.-Y. Zhu, A. Tao, J. Kautz, and B. Catanzaro · 2017
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High-resolution image inpainting using multi-scale neural patch synthesis
C. Yang, X. Lu, Z. Lin, E. Shechtman, O. Wang, and H. Li · 2017
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Lr-gan: Layered recursive generative adversarial networks for image generation
J. Yang, A. Kannan, D. Batra, and D. Parikh · 2017
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Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
H. Zhang, T. Xu, H. Li, S. Zhang, X. Huang, X. Wang, and D. Metaxas · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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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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Image generation from scene graphs
J. Johnson, A. Gupta, and L. Fei-Fei · 2018
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St-gan: Spatial transformer generative adversarial networks for image compositing
C.-H. Lin, E. Yumer, O. Wang, E. Shechtman, and S. Lucey · 2018
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