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Taking a photo outside, can we predict the immediate future, e.g., how would the cloud move in the sky? We address this problem by presenting a generative adversarial network (GAN) based two-stage approach to generating realistic time-lapse videos of high resolution.
Rectified linear units improve restricted boltzmann machines
V. Nair and G. E. Hinton · 2010
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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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Large-scale video classification with convolutional neural networks
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei · 2014
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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2014
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Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
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Two-stream convolutional networks for action recognition in videos
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Deep generative image models using a laplacian pyramid of adversarial networks
E. Denton, S. Chintala, A. Szlam, and R. Fergus · 2015
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Texture synthesis using convolutional neural networks
L. Gatys, A. S. Ecker, and M. Bethge · 2015
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Deep metric learning using triplet network
E. Hoffer and N. Ailon · 2015
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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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Deep multi-scale video prediction beyond mean square error
M. Mathieu, C. Couprie, and Y. LeCun · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Empirical evaluation of rectified activations in convolutional network
B. Xu, N. Wang, T. Chen, and M. Li · 2015
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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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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 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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Generating videos with scene dynamics
C. Vondrick, H. Pirsiavash, and A. Torralba · 2016
Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, et al · 2017
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Perceptual generative adversarial networks for small object detection
J. Li, X. Liang, Y. Wei, T. Xu, J. Feng, and S. Yan · 2017
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Generative semantic manipulation with contrasting gan
X. Liang, H. Zhang, and E. P. Xing · 2017
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Two-stream convolutional networks for dynamic texture synthesis
M. Tesfaldet, M. A. Brubaker, and K. G. Derpanis · 2017
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Mocogan: Decomposing motion and content for video generation
S. Tulyakov, M.-Y. Liu, X. Yang, and J. Kautz · 2017
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Harnessing object and scene semantics for large-scale video understanding
Z. Wu, Y. Fu, Y.-G. Jiang, and L. Sigal · 2016
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Visual dynamics: Probabilistic future frame synthesis via cross convolutional networks
T. Xue, J. Wu, K. L. Bouman, and W. T. Freeman · 2016
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Video paragraph captioning using hierarchical recurrent neural networks
H. Yu, J. Wang, Z. Huang, Y. Yang, and W. Xu · 2016
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Learning temporal transformations from time-lapse videos
Y. Zhou and T. L. Berg · 2016
Cited alongside, same era.
Wasserstein generative adversarial networks
M. Arjovsky, S. Chintala, and L. Bottou · 2017
Cited alongside, same era.
Synthesising dynamic textures using convolutional neural networks
C. M. Funke, L. A. Gatys, A. S. Ecker, and M. Bethge · 2017
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Decomposing motion and content for natural video sequence prediction
R. Villegas, J. Yang, S. Hong, X. Lin, and H. Lee · 2017
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Learning to generate long-term future via hierarchical prediction
R. Villegas, J. Yang, Y. Zou, S. Sohn, X. Lin, and H. Lee · 2017
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Generating the future with adversarial transformers
C. Vondrick and A. Torralba · 2017
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Wasserstein learning of deep generative point process models
S. Xiao, M. Farajtabar, X. Ye, J. Yan, L. Song, and H. Zha · 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. Huang, X. Wang, and D. Metaxas · 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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Tagging like humans: Diverse and distinct image annotation
B. Wu, W. Chen, P. Sun, W. Liu, B. Ghanem, and S. Lyu · 2018
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