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We present a novel introspective variational autoencoder (IntroVAE) model for synthesizing high-resolution photographic images.
Generative adversarial nets
Goodfellow, Ian, Pouget-Abadie, Jean, Mirza, Mehdi, Xu, Bing, Warde-Farley, David, Ozair, Sherjil, Courville, Aaron, and Bengio, Yoshua · 2014
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Adam: A method for stochastic optimization
Kingma, Diederik and Ba, Jimmy · 2014
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Auto-encoding variational bayes
Kingma, Diederik P and Welling, Max · 2014
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Stochastic backpropagation and approximate inference in deep generative models
Rezende, Danilo Jimenez, Mohamed, Shakir, and Wierstra, Daan · 2014
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Deep generative image models using a laplacian pyramid of adversarial networks
Denton, Emily L, Chintala, Soumith, Fergus, Rob, et al · 2015
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Generative moment matching networks
Li, Yujia, Swersky, Kevin, and Zemel, Rich · 2015
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Deep learning face attributes in the wild
Liu, Ziwei, Luo, Ping, Wang, Xiaogang, and Tang, Xiaoou · 2015
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Makhzani, Alireza, Shlens, Jonathon, Jaitly, Navdeep, Goodfellow, Ian, and Frey, Brendan · 2015
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Yu, Fisher, Seff, Ari, Zhang, Yinda, Song, Shuran, Funkhouser, Thomas, and Xiao, Jianxiong · 2015
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Generating images with perceptual similarity metrics based on deep networks
Dosovitskiy, Alexey and Brox, Thomas · 2016
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Deep learning , volume 1
Goodfellow, Ian, Bengio, Yoshua, Courville, Aaron, and Bengio, Yoshua · 2016
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Improved variational inference with inverse autoregressive flow
Kingma, Diederik P, Salimans, Tim, Jozefowicz, Rafal, Chen, Xi, Sutskever, Ilya, and Welling, Max · 2016
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Autoencoding beyond pixels using a learned similarity metric
Larsen, Anders Boesen Lindbo, Sønderby, Søren Kaae, Larochelle, Hugo, and Winther, Ole · 2016
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Unsupervised representation learning with deep convolutional generative adversarial networks
Radford, Alec, Metz, Luke, and Chintala, Soumith · 2016
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Improved techniques for training GANs
Salimans, Tim, Goodfellow, Ian, Zaremba, Wojciech, Cheung, Vicki, Radford, Alec, and Chen, Xi · 2016
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Ladder variational autoencoders
Sønderby, Casper Kaae, Raiko, Tapani, Maaløe, Lars, Sønderby, Søren Kaae, and Winther, Ole · 2016
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Conditional image generation with pixelcnn decoders
van den Oord, Aaron, Kalchbrenner, Nal, Espeholt, Lasse, Vinyals, Oriol, Graves, Alex, et al · 2016
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Pixel recurrent neural networks
Van Oord, Aaron, Kalchbrenner, Nal, and Kavukcuoglu, Koray · 2016
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Arjovsky, Martin, Chintala, Soumith, and Bottou, Léon · 2017
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Improved training of wasserstein GANs
Gulrajani, Ishaan, Ahmed, Faruk, Arjovsky, Martin, Dumoulin, Vincent, and Courville, Aaron C · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Heusel, Martin, Ramsauer, Hubert, Unterthiner, Thomas, Nessler, Bernhard, and Hochreiter, Sepp · 2017
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Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution
Huang, Huaibo, He, Ran, Sun, Zhenan, and Tan, Tieniu · 2017
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Fader networks: Manipulating images by sliding attributes
Lample, Guillaume, Zeghidour, Neil, Usunier, Nicolas, Bordes, Antoine, Denoyer, Ludovic, et al · 2017
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Unsupervised image-to-image translation networks
Liu, Ming-Yu, Breuel, Thomas, and Kautz, Jan · 2017
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Pose guided person image generation
Ma, Liqian, Jia, Xu, Sun, Qianru, Schiele, Bernt, Tuytelaars, Tinne, and Van Gool, Luc · 2017
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Berthelot, David, Schumm, Tom, and Metz, Luke · 2017
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Neural photo editing with introspective adversarial networks
Brock, Andrew, Lim, Theodore, Ritchie, James M, and Weston, Nick · 2017
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Variational lossy autoencoder
Chen, Xi, Kingma, Diederik P, Salimans, Tim, Duan, Yan, Dhariwal, Prafulla, Schulman, John, Sutskever, Ilya, and Abbeel, Pieter · 2017
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Pixel recursive super resolution
Dahl, Ryan, Norouzi, Mohammad, and Shlens, Jonathon · 2017
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Density estimation using real NVP
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Adversarial feature learning
Donahue, Jeff, Krähenbühl, Philipp, and Darrell, Trevor · 2017
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Adversarially learned inference
Dumoulin, Vincent, Belghazi, Ishmael, Poole, Ben, Mastropietro, Olivier, Lamb, Alex, Arjovsky, Martin, and Courville, Aaron · 2017
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Dual discriminator generative adversarial nets
Nguyen, Tu, Le, Trung, Vu, Hung, and Phung, Dinh · 2017
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Conditional image synthesis with auxiliary classifier GANs
Odena, Augustus, Olah, Christopher, and Shlens, Jonathon · 2017
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VEEGAN: Reducing mode collapse in gans using implicit variational learning
Srivastava, Akash, Valkoz, Lazar, Russell, Chris, Gutmann, Michael U, and Sutton, Charles · 2017
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Toward multimodal image-to-image translation
Zhu, Jun-Yan, Zhang, Richard, Pathak, Deepak, Darrell, Trevor, Efros, Alexei A, Wang, Oliver, and Shechtman, Eli · 2017
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Progressive growing of GANs for improved quality, stability, and variation
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It takes (only) two: Adversarial generator-encoder networks
Ulyanov, Dmitry, Vedaldi, Andrea, and Lempitsky, Victor · 2018
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High-resolution image synthesis and semantic manipulation with conditional GANs
Wang, Ting-Chun, Liu, Ming-Yu, Zhu, Jun-Yan, Tao, Andrew, Kautz, Jan, and Catanzaro, Bryan · 2018
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Photographic text-to-image synthesis with a hierarchically-nested adversarial network
Zhang, Zizhao, Xie, Yuanpu, and Yang, Lin · 2018
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