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We study the problem of synthesizing a number of likely future frames from a single input image.
Keeping the neural networks simple by minimizing the description length of the weights
Geoffrey E Hinton and Drew Van Camp · 1993
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Layered representation for motion analysis
John YA Wang and Edward H Adelson · 1993
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Slow and Smooth: a Bayesian theory for the combination of local motion signals in human vision
Yair Weiss and Edward H. Adelson · 1998
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Design and use of linear models for image motion analysis
David J Fleet, Michael J Black, Yaser Yacoob, and Allan D Jepson · 2000
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A parametric texture model based on joint statistics of complex wavelet coefficients
Javier Portilla and Eero P Simoncelli · 2000
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Video textures
Arno Schödl, Richard Szeliski, David H Salesin, and Irfan Essa · 2000
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Space-time video completion
Yonatan Wexler, Eli Shechtman, and Michal Irani · 2004
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Panoramic video textures
Aseem Agarwala, Ke Colin Zheng, Chris Pal, Maneesh Agrawala, Michael Cohen, Brian Curless, David Salesin, and Richard Szeliski · 2005
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On the spatial statistics of optical flow
S. Roth and M.J. Black · 2005
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Ideal Observers for Detecting Motion: Correspondence Noise
Hongjing Lu and Alan L Yuille · 2006
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Beyond pixels: exploring new representations and applications for motion analysis
Ce Liu · 2009
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Sift flow: Dense correspondence across scenes and its applications
Ce Liu, Jenny Yuen, and Antonio Torralba · 2011
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Cliplets: juxtaposing still and dynamic imagery
Neel Joshi, Sisil Mehta, Steven Drucker, Eric Stollnitz, Hugues Hoppe, Matt Uyttendaele, and Michael Cohen · 2012
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Eulerian video magnification for revealing subtle changes in the world
Hao-Yu Wu, Michael Rubinstein, Eugene Shih, John Guttag, Frédo Durand, and William Freeman · 2012
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Automated video looping with progressive dynamism
Zicheng Liao, Neel Joshi, and Hugues Hoppe · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Semi-supervised learning with deep generative models
Diederik P Kingma, Shakir Mohamed, Danilo Jimenez Rezende, and Max Welling · 2014
Visalogy: Answering visual analogy questions
Fereshteh Sadeghi, C Lawrence Zitnick, and Ali Farhadi · 2015
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Unsupervised learning of video representations using lstms
Nitish Srivastava, Elman Mansimov, and Ruslan Salakhutdinov · 2015
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Dense Optical Flow Prediction from a Static Image
Jacob Walker, Abhinav Gupta, and Martial Hebert · 2015
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Attribute2image: Conditional image generation from visual attributes
Xinchen Yan, Jimei Yang, Kihyuk Sohn, and Honglak Lee · 2015
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Unsupervised learning for physical interaction through video prediction
Chelsea Finn, Ian Goodfellow, and Sergey Levine · 2016
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Dejavu: Motion prediction in static images
S.L. Pintea, J. C. van Gemert, and A. W. M. Smeulders · 2014
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Patch to the Future: Unsupervised Visual Prediction
Jacob Walker, Abhinav Gupta, and Martial Hebert · 2014
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Deep generative image models using an laplacian pyramid of adversarial networks
Emily L Denton, Soumith Chintala, Rob Fergus, et al · 2015
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Draw: A recurrent neural network for image generation
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, and Daan Wierstra · 2015
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Action-conditional video prediction using deep networks in atari games
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L Lewis, and Satinder Singh · 2015
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Deep visual analogy-making
Scott E Reed, Yi Zhang, Yuting Zhang, and Honglak Lee · 2015
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Irina Higgins, Loic Matthey, Xavier Glorot, Arka Pal, Benigno Uria, Charles Blundell, Shakir Mohamed, and Alexander Lerchner · 2016
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Deep multi-scale video prediction beyond mean square error
Michael Mathieu, Camille Couprie, and Yann LeCun · 2016
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2016
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Anticipating visual representations from unlabeled video
Carl Vondrick, Hamed Pirsiavash, and Antonio Torralba · 2016
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An uncertain future: Forecasting from static images using variational autoencoders
Jacob Walker, Carl Doersch, Abhinav Gupta, and Martial Hebert · 2016
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Synthesizing dynamic textures and sounds by spatial-temporal generative convnet
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