Unsupervised Separation of Dynamics from Pixels

20 Jul 2019Silvia ChiappaUlrich Paquet

We present an approach to learn the dynamics of multiple objects from image sequences in an unsupervised way. We introduce a probabilistic model that first generate noisy positions for each object through a separate linear state-space model, and then renders the positions of all objects in the same image through a highly non-linear process... (read more)

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