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This paper presents a novel method to deal with the challenging task of generating photographic images conditioned on semantic image descriptions.
Automated flower classification over a large number of classes
M.-E. Nilsback and A. Zisserman · 2008
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Caltech-ucsd birds 200
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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2013
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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2013
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
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Unifying visual-semantic embeddings with multimodal neural language models
R. Kiros, R. Salakhutdinov, and R. S. Zemel · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Deep generative image models using a laplacian pyramid of adversarial networks
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Deeply-supervised nets
C.-Y. Lee, S. Xie, P. Gallagher, Z. Zhang, and Z. Tu · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Holistically-nested edge detection
S. Xie and Z. Tu · 2015
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
F. Yu, A. Seff, Y. Zhang, S. Song, T. Funkhouser, and J. Xiao · 2015
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J. L. Ba, J. R. Kiros, and G. E. Hinton · 2016
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Generating images with perceptual similarity metrics based on deep networks
A. Dosovitskiy and T. Brox · 2016
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Generative multi-adversarial networks
I. Durugkar, I. Gemp, and S. Mahadevan · 2016
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Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
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Progressive growing of gans for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2016
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Least squares generative adversarial networks
X. Mao, Q. Li, H. Xie, R. Y. Lau, Z. Wang, and S. P. Smolley · 2016
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Tac-gan-text conditioned auxiliary classifier generative adversarial network
A. Dash, J. C. B. Gamboa, S. Ahmed, M. Z. Afzal, and M. Liwicki · 2017
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Semantic image synthesis via adversarial learning
H. Dong, S. Yu, C. Wu, and Y. Guo · 2017
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Stacked generative adversarial networks
X. Huang, Y. Li, O. Poursaeed, J. Hopcroft, and S. Belongie · 2017
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Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszár, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, et al · 2017
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L. Metz, B. Poole, D. Pfau, and J. Sohl-Dickstein · 2016
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Conditional image synthesis with auxiliary classifier gans
A. Odena, C. Olah, and J. Shlens · 2016
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Pixel recurrent neural networks
A. v. d. Oord, N. Kalchbrenner, and K. Kavukcuoglu · 2016
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Generative adversarial text to image synthesis
S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee · 2016
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Learning what and where to draw
S. E. Reed, Z. Akata, S. Mohan, S. Tenka, B. Schiele, and H. Lee · 2016
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Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, X. Chen, and X. Chen · 2016
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M.-Y. Liu, T. Breuel, and J. Kautz · 2017
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Dual discriminator generative adversarial nets
T. D. Nguyen, T. Le, H. Vu, and D. Phung · 2017
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Learning from simulated and unsupervised images through adversarial training
A. Shrivastava, T. Pfister, O. Tuzel, J. Susskind, W. Wang, and R. Webb · 2017
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Attngan: Fine-grained text to image generation with attentional generative adversarial networks
T. Xu, P. Zhang, Q. Huang, H. Zhang, Z. Gan, X. Huang, and X. He · 2017
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Multi-style generative network for real-time transfer
H. Zhang and K. Dana · 2017
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Image de-raining using a conditional generative adversarial network
H. Zhang, V. Sindagi, and V. M. Patel · 2017
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Stackgan: Text to 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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Stackgan++: Text to 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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Mdnet: A semantically and visually interpretable medical image diagnosis network
Z. Zhang, Y. Xie, F. Xing, M. Mcgough, and L. Yang · 2017
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Pyramid scene parsing network
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 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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Translating and segmenting multimodal medical volumes with cycle- and shape-consistency generative adversarial network
Z. Zhang, L. Yang, and Y. Zheng · 2018
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