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Deep generative models have demonstrated great performance in image synthesis.
Image quality assessment: From error visibility to structural similarity
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
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How do humans sketch objects?
M. Eitz, J. Hays, and M. Alexa · 2012
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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2013
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From actemes to action: A strongly-supervised representation for detailed action understanding
W. Zhang, M. Zhu, and K. G. Derpanis · 2013
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Generative adversarial nets
I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. C. Courville, and Y. Bengio · 2014
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Semi-supervised learning with deep generative models
D. P. Kingma, S. Mohamed, D. Jimenez Rezende, and M. Welling · 2014
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Microsoft COCO: common objects in context
T. Lin, M. Maire, S. J. Belongie, L. D. Bourdev, R. B. Girshick, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Fine-grained visual comparisons wiht local learnings
A. Yu and K. Grauman · 2014
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Autoencoding beyond pixels using a learned similarity metric
A. B. L. Larsen, S. K. Sønderby, and O. Winther · 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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U-Net: Convolutional Networks for Biomedical Image Segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Generative regularization with latent topics for discriminative object recognition
J. C. Rubio, A. Eigenstetter, and B. Ommer · 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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Learning structured output representation using deep conditional generative models
K. Sohn, H. Lee, and X. Yan · 2015
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Holistically-nested edge detection
S. Xie and Z. Tu · 2015
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Scalable person re-identification: A benchmark
L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang, and Q. Tian · 2015
Cited alongside, same era.
M. Arjovsky, S. Chintala, and L. Bottou · 2016
Cited alongside, same era.
Cliquecnn: Deep unsupervised exemplar learning
M. Bautista, A. Sanakoyeu, E. Sutter, and B. Ommer · 2016
Cited alongside, same era.
Infogan: Interpretable representation learning by information maximizing generative adversarial nets
X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel · 2016
Cited alongside, same era.
Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
CVAE-GAN: Fine-grained image generation through assymetric training
J. Bao, D. Chen, F. Wen, H. Li, and G. Hua · 2017
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Deep unsupervised similarity learning using partially ordered sets
M. Bautista, A. Sanakoyeu, and B. Ommer · 2017
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Lstm self-supervision for detailed behavior analysis
B. Brattoli, U. Büchler, A. S. Wahl, M. E. Schwab, and B. Ommer · 2017
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Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, T. Simon, S.-E. Wei, and Y. Sheikh · 2017
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Photographic image synthesis with cascaded refinement networks
Q. Chen and V. Koltun · 2017
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Progressive growing of gans for improved quality, stability, and variation
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P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2016
Cited alongside, same era.
Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
Z. Liu, P. Luo, S. Qiu, X. Wang, and X. Tang · 2016
Cited alongside, same era.
Fashion landmark detection in the wild
Z. Liu, S. Yan, P. Luo, X. Wang, and X. Tang · 2016
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2016
Cited alongside, same era.
Learning what and where to draw
S. E. Reed, Z. Akata, S. Mohan, S. Tenka, B. Schiele, and H. Lee · 2016
Cited alongside, same era.
Improved techniques for training gans
T. Salimans, I. J. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
Cited alongside, same era.
Weight normalization: A simple reparameterization to accelerate training of deep neural networks
T. Salimans and D. P. Kingma · 2016
Cited alongside, same era.
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2017
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A generative model for people in clothing
C. Lassner, G. Pons-Moll, and P. V. Gehler · 2017
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Photo-realistic single image super resolution using generative adversarial network
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. P. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2017
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Pose guided person image generation
L. Ma, X. Jia, Q. Sun, B. Schiele, T. Tuytelaars, and L. Van Gool · 2017
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Unsupervised video understanding by reconciliation of posture similarities
T. Milbich, M. Bautista, E. Sutter, and B. Ommer · 2017
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Conditional image synthesis with auxiliary classifier gans
A. Odena, C. Olah, and J. Shlens · 2017
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Parallel multiscale autoregressive density estimation
S. E. Reed, A. van den Oord, N. Kalchbrenner, S. Gómez, Z. Wang, D. Belov, and N. de Freitas · 2017
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Variational approaches for auto-encoding generative adversarial networks
M. Rosca, B. Lakshminarayanan, D. Warde-Farley, and S. Mohamed · 2017
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Stackgan: Text photo-realistic image synthesis with stacked generative adversarial networks
H. Zhang, T. Xu, H. Li, S. Zhang, X. Wang, X. Huang, and D. Metaxas · 2017
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Multi-view image generation from a single-view
B. Zhao, X. Wu, Z. Cheng, H. Liu, and J. Feng · 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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Be your own prada: Fashion synthesis with structural coherence
S. Zhu, S. Fidler, R. Urtasun, D. Lin, and C. C. Loy · 2017
Later among the works it cites.