Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks

NeurIPS 2016 Tianfan XueJiajun WuKatherine L. BoumanWilliam T. Freeman

We study the problem of synthesizing a number of likely future frames from a single input image. In contrast to traditional methods, which have tackled this problem in a deterministic or non-parametric way, we propose a novel approach that models future frames in a probabilistic manner... (read more)

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