Stylistic Locomotion Modeling with Conditional Variational Autoencoder

We take a motion blending approach and construct motion blending modules with a set of small number of motion capture data for each type of motions: standing movements,

Two specific goals motivated this work when considering the canvas in such a context. First, we would like to be able to produce realistic paper and canvas models. Second, we would

Based on our matching techniques, motion templates pro- vide a fully automatic way of retrieving logically related motion segments from a large database and classifying or

Shabana [Sha89] describes the derivation of motion equa- tions from general Lagrangian mechanics for the case of a deformable model with separation of rigid-body motion.. With

A first evaluation of the model was done by using the generated mean motion model to predict lung and tumor motion of individual patients and comparing the prediction quality

A transition from physical simulation to motion editing (in this system a motion graph) can be made if the VHs pose is similar to a pose in a motion primitive of one the motion

To evaluate our method, we have performed multiple ex- periments: (a) leave-one-out cross validation shows the ac- curacy of our method in predicting new motions; (b) an ap-

Based on the visual clutter and motion literature, our main hypothesis was that a more cluttered, high motion back- ground would significantly hinder perception of