Predicting the dynamics of 2d objects with a deep residual network

13 Oct 2016François Fleuret

We investigate how a residual network can learn to predict the dynamics of interacting shapes purely as an image-to-image regression task. With a simple 2d physics simulator, we generate short sequences composed of rectangles put in motion by applying a pulling force at a point picked at random... (read more)

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