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 reversal layer


Reviews: Quadratic Video Interpolation

Neural Information Processing Systems

This work proposes a method of estimating and using the higher-order information, i.e. acceleration, for optical flow estimation such that the interpolated frames can capture motions more naturally. The idea is interesting and straightforward and I am surprised that no one has done this before. The work is very well presented with sufficient experiments. The SM is well prepared. The flow reversal layer is somehow novel, but it is not very clear what exactly learned by the reversal layer.