Diversity-promoting human motion interpolation via conditional variational auto-encoder
Diversity-promoting human motion interpolation via conditional variational auto-encoder
In this paper, we present a deep generative model based method to generate diverse human motion interpolation results. We resort to the conditional variational auto-encoder (CVAE) to learn human motion conditioned on a pair of given start and end motions, by leveraging the recurrent neural network (RNN) structure for both …