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While developing perception based deep learning models, the benefit of synthetic data is enormous.
Texture synthesis by non-parametric sampling
Alexei A. Efros and Thomas K. Leung · 1999
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Image analogies
Aaron Hertzmann, Charles E. Jacobs, Nuria Oliver, Brian Curless, and David H. Salesin · 2001
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Stochastic backpropagation and approximate inference in deep generative models, 2014
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra · 2014
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DRAW: A recurrent neural network for image generation
Karol Gregor, Ivo Danihelka, Alex Graves, and Daan Wierstra · 2015
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Generative moment matching networks
Yujia Li, Kevin Swersky, and Richard Zemel · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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The cityscapes dataset for semantic urban scene understanding
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Fcns in the wild: Pixel-level adversarial and constraint-based adaptation
Judy Hoffman, Dequan Wang, Fisher Yu, and Trevor Darrell · 2016
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Playing for data: Ground truth from computer games
Stephan R. Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun · 2016
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Image-to-image translation with conditional adversarial networks
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Scribbler: Controlling deep image synthesis with sketch and color
Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, and James Hays · 2016
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Learning to generate images of outdoor scenes from attributes and semantic layouts
Levent Karacan, Zeynep Akata, Aykut Erdem, and Erkut Erdem · 2016
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Levent Karacan, Zeynep Akata, Aykut Erdem, and Erkut Erdem · 2016
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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
Learning to discover cross-domain relations with generative adversarial networks
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, and Jiwon Kim · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A. Efros · 2017
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Synscapes: A photorealistic synthetic dataset for street scene parsing
Magnus Wrenninge and Jonas Unger · 2018
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A closed-form solution to photorealistic image stylization
Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, and Jan Kautz · 2018
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Diverse image-to-image translation via disentangled representations
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Coupled generative adversarial networks
Ming-Yu Liu and Oncel Tuzel · 2016
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Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, and Antonio Torralba · 2016
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Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and ZB Wojna · 2016
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Unsupervised image-to-image translation networks
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Fujun Luan, Sylvain Paris, Eli Shechtman, and Kavita Bala · 2017
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Cycada: Cycle-consistent adversarial domain adaptation
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Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Kumar Singh, and Ming-Hsuan Yang · 2018
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Multimodal unsupervised image-to-image translation
Xun Huang, Ming-Yu Liu, Serge Belongie, and Jan Kautz · 2018
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Erfnet: Efficient residual factorized convnet for real-time semantic segmentation
Eduardo Romera, José Manuel Álvarez, Luis Miguel Bergasa, and Roberto Arroyo · 2018
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Autonomous vehicle market outlook - 2026, 2019
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Waymo’s autonomous cars have driven 8 million miles on public roads, 2018
The Verge · 2019
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Semantic image synthesis with spatially-adaptive normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
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Drit++: Diverse image-to-image translation viadisentangled representations
Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Kumar Singh, and Ming-Hsuan Yang · 2019
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