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A new generative adversarial network is developed for joint distribution matching.
Caltech-UCSD Birds 200
Welinder, P., Branson, S., Mita, T., Wah, C., Schroff, F., Belongie, S., and Perona, P · 2010
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Learning deep structured semantic models for web search using clickthrough data
Huang, P.-S., He, X., Gao, J., Deng, L., Acero, A., and Heck, L · 2013
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Auto-encoding variational bayes
Kingma, D. P. and Welling, M · 2013
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Spatial pattern templates for recognition of objects with regular structure
Tyleček, R. and Šára, R · 2013
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Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y · 2014
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Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2014
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Conditional generative adversarial nets
Mirza, M. and Osindero, S · 2014
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Fine-grained visual comparisons with local learning
Yu, A. and Grauman, K · 2014
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Autoencoding beyond pixels using a learned similarity metric
Larsen, A. B. L., Sønderby, S. K., Larochelle, H., and Winther, O · 2015
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Makhzani, A., Shlens, J., Jaitly, N., Goodfellow, I., and Frey, B · 2015
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U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O., Fischer, P., and Brox, T · 2015
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The cityscapes dataset for semantic urban scene understanding
Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., and Schiele, B · 2016
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Coupled generative adversarial networks
Liu, M.-Y. and Tuzel, O · 2016
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Invertible conditional gans for image editing
Perarnau, G., van de Weijer, J., Raducanu, B., and Álvarez, J. M · 2016
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Variational autoencoder for deep learning of images, labels and captions
Pu, Y., Gan, Z., Henao, R., Yuan, X., Li, C., Stevens, A., and Carin, L · 2016
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Unsupervised representation learning with deep convolutional generative adversarial networks
Radford, A., Metz, L., and Chintala, S · 2016
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Generative adversarial text to image synthesis
Image-to-image translation with conditional adversarial networks
Isola, P., Zhu, J.-Y., Zhou, T., and Efros, A. A · 2017
Later among the works it cites.
Learning to discover cross-domain relations with generative adversarial networks
Kim, T., Cha, M., Kim, H., Lee, J., and Kim, J · 2017
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Unsupervised image-to-image translation networks
Liu, M.-Y., Breuel, T., and Kautz, J · 2017
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Adversarial variational bayes: Unifying variational autoencoders and generative adversarial networks
Mescheder, L., Nowozin, S., and Geiger, A · 2017
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Adversarial symmetric variational autoencoder
Pu, Y., Wang, W., Henao, R., Chen, L., Gan, Z., Li, C., and Carin, L · 2017
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Attngan: Fine-grained text to image generation with attentional generative adversarial networks
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Reed, S., Akata, Z., Yan, X., Logeswaran, L., Schiele, B., and Lee, H · 2016
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Generative visual manipulation on the natural image manifold
Zhu, J.-Y., Krähenbühl, P., Shechtman, E., and Efros, A. A · 2016
Cited alongside, same era.
Adversarial feature learning
Donahue, J., Krähenbühl, P., and Darrell, T · 2017
Cited alongside, same era.
Adversarially learned inference
Dumoulin, V., Belghazi, I., Poole, B., Mastropietro, O., Lamb, A., Arjovsky, M., and Courville, A · 2017
Cited alongside, same era.
Improved training of Wasserstein GANs
Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., and Courville, A. C · 2017
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On unifying deep generative models
Hu, Z., Yang, Z., Salakhutdinov, R., and Xing, E. P · 2017
Cited alongside, same era.
Triangle generative adversarial networks
Gan, Z., Chen, L., Wang, W., Pu, Y., Zhang, Y., Liu, H., Li, C., and Carin, L
Cited in the paper.
Xu, T., Zhang, P., Huang, Q., Zhang, H., Gan, Z., Huang, X., and He, X · 2017
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Dualgan: Unsupervised dual learning for image-to-image translation
Yi, Z., Zhang, H., Tan, P., and Gong, M · 2017
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Seqgan: Sequence generative adversarial nets with policy gradient
Yu, L., Zhang, W., Wang, J., and Yu, Y · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.-Y., Park, T., Isola, P., and Efros, A. A · 2017
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Symmetric variational autoencoder and connections to adversarial learning
Chen, L., Dai, S., Pu, Y., Zhou, E., Li, C., Su, Q., Chen, C., and Carin, L · 2018
Closest in time.
Chi-square generative adversarial network
Tao, C., Chen, L., Henao, R., Feng, J., and Carin, L · 2018
Closest in time.