This paper presents a generative human motion model for synthesis, retargeting, and editing of personalized human motion styles. We first record a human motion database from mult...
There are many applications that demand large quantities of natural looking motion. It is difficult to synthesize motion that looks natural, particularly when it is people who mus...
We present in this paper a technique for stylized reuse of view-dependent animation. We illustrate with an example, how can a unique animation be synthesized by reusing the view-d...
This paper applies an algorithm, based on Tensor Decomposition, to a new synthesis application: by using sampled motions of people of different ages under different emotional stat...