#HTE
“We present a framework to synthesize character movements based on high level parameters, such that the produced movements respect the manifold of human motion, trained on a large motion capture dataset.
The learned motion manifold, which is represented by the hidden units of a convolutional autoencoder, represents motion data in sparse components which can be combined to produce a wide range of complex movements.”
http://redirect.viglink.com?u=http%3A%2F%2Fjournal.benbashford.com%2Fpost%2F145703606993&key=ddaed8f51db7bb1330a6f6de768a69b8