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FlowNet: Learning Optical Flow with Convolutional Networks

A simple choice is to stack both input images together and feed them through a rather generic network, allowing the network to decide itself how to process the image pair to extract the motion information. This is illustrated in
(top). We call this architecture consisting only of convolutional layers ‘FlowNetSimple’