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We present the Video Ladder Network (VLN) for efficiently generating future video frames.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Convolutional LSTM network: A machine learning approach for precipitation nowcasting
Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai kin Wong, and Wang chun Woo · 2015
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Unsupervised learning of video representations using LSTMs
Nitish Srivastava, Elman Mansimov, and Ruslan Salakhutdinov · 2015
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From neural PCA to deep unsupervised learning
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Bert De Brabandere, Xu Jia, Tinne Tuytelaars, and Luc Van Gool · 2016
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Identity mappings in deep residual networks
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Nal Kalchbrenner, Aaron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, and Koray Kavukcuoglu · 2016
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Spatio-temporal video autoencoder with differentiable memory
Viorica Patraucean, Ankur Handa, and Roberto Cipolla · 2016
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Multi-scale context aggregation by dilated convolutions
Fisher Yu and Vladlen Koltun · 2016
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