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Synthesizing realistic images from text descriptions on a dataset like Microsoft Common Objects in Context (MS COCO), where each image can contain several objects, is a challenging task.
Long short-term memory
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Gradient-based learning applied to document recognition
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Framewise phoneme classification with bidirectional lstm and other neural network architectures
Graves, Alex and Schmidhuber, Jürgen · 2005
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The mir flickr retrieval evaluation
Huiskes, Mark J. and Lew, Michael S · 2008
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Automated flower classification over a large number of classes
Nilsback, M-E. and Zisserman, A · 2008
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Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L. J., Li, Kai, and Fei-Fei, Li · 2009
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Learning multiple layers of features from tiny images
Krizhevsky, Alex · 2009
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The Caltech-UCSD Birds-200-2011 Dataset
Wah, Catherine, Branson, Steve, Welinder, Peter, Perona, Pietro, and Belongie, Serge · 2011
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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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Auto-encoding variational bayes
Kingma, Diederik P. and Welling, Max · 2014
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Microsoft coco: Common objects in context
Lin, Tsung-Yi, Maire, Michael, Belongie, Serge, Hays, James, Perona, Pietro, Ramanan, Deva, Dollár, Piotr, and Zitnick, C Lawrence · 2014
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Conditional generative adversarial nets
Mirza, Mehdi and Osindero, Simon · 2014
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Deep generative image models using a laplacian pyramid of adversarial networks
Denton, Emily L, Chintala, Soumith, szlam, arthur, and Fergus, Rob · 2015
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Draw: A recurrent neural network for image generation
Gregor, Karol, Danihelka, Ivo, Graves, Alex, Rezende, Danilo, and Wierstra, Daan · 2015
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Adam: A method for stochastic optimization
Kingma, Diederik P and Ba, Jimmy · 2015
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Skip-thought vectors
Kiros, Ryan, Zhu, Yukun, Salakhutdinov, Ruslan R, Zemel, Richard, Urtasun, Raquel, Torralba, Antonio, and Fidler, Sanja · 2015
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Liu, Ziwei, Luo, Ping, Wang, Xiaogang, and Tang, Xiaoou · 2015
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Deep residual learning for image recognition
He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian · 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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Visual Dialog
Das, Abhishek, Kottur, Satwik, Gupta, Khushi, Singh, Avi, Yadav, Deshraj, Moura, José MF, Parikh, Devi, and Batra, Dhruv · 2017
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TAC-GAN - text conditioned auxiliary classifier generative adversarial network
Dash, Ayushman, Gamboa, John Cristian Borges, Ahmed, Sheraz, Liwicki, Marcus, and Afzal, Muhammad Zeshan · 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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Codraw: Visual dialog for collaborative drawing
Kim, Jin-Hwa, Parikh, Devi, Batra, Dhruv, Zhang, Byoung-Tak, and Tian, Yuandong · 2017
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Plug & play generative networks: Conditional iterative generation of images in latent space
Nguyen, Anh, Clune, Jeff, Bengio, Yoshua, Dosovitskiy, Alexey, and Yosinski, Jason · 2017
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Adversarial autoencoders
Makhzani, Alireza, Shlens, Jonathon, Jaitly, Navdeep, and Goodfellow, Ian · 2016
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Generating images from captions with attention
Mansimov, Elman, Parisotto, Emilio, Ba, Lei Jimmy, and Salakhutdinov, Ruslan · 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, Chen, Xi, and Chen, Xi · 2016
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Pixel recurrent neural networks
Van Den Oord, Aäron, Kalchbrenner, Nal, and Kavukcuoglu, Koray · 2016
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Wasserstein generative adversarial networks
Arjovsky, Martin, Chintala, Soumith, and Bottou, Léon · 2017
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Conditional image synthesis with auxiliary classifier GANs
Odena, Augustus, Olah, Christopher, and Shlens, Jonathon · 2017
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Automatic differentiation in pytorch
Paszke, Adam, Gross, Sam, Chintala, Soumith, Chanan, Gregory, Yang, Edward, DeVito, Zachary, Lin, Zeming, Desmaison, Alban, Antiga, Luca, and Lerer, Adam · 2017
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Stabilizing training of generative adversarial networks through regularization
Roth, Kevin, Lucchi, Aurelien, Nowozin, Sebastian, and Hofmann, Thomas · 2017
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Attngan: Fine-grained text to image generation with attentional generative adversarial networks
Xu, Tao, Zhang, Pengchuan, Huang, Qiuyuan, Zhang, Han, Gan, Zhe, Huang, Xiaolei, and He, Xiaodong · 2017
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Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
Zhang, Han, Xu, Tao, Li, Hongsheng, Zhang, Shaoting, Wang, Xiaogang, Huang, Xiaolei, and Metaxas, Dimitris N · 2017
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Inferring semantic layout for hierarchical text-to-image synthesis
Hong, Seunghoon, Yang, Dingdong, Choi, Jongwook, and Lee, Honglak · 2018
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Progressive growing of GANs for improved quality, stability, and variation
Karras, Tero, Aila, Timo, Laine, Samuli, and Lehtinen, Jaakko · 2018
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Spectral normalization for generative adversarial networks
Miyato, Takeru, Kataoka, Toshiki, Koyama, Masanori, and Yoshida, Yuichi · 2018
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