Disney Enterprises, Inc.

Pixar

Joan Massich

Christopher Richard Schroers

Mark Joseph Meyer

Rasmus Tamstorf

Daniel Teece

Charles Tappan

Clara Fernandez

Antoine Milliez

Hayko Riemenschneider

Techniques for aligning object representations for animation include analyzing a source object representation and a target object representation to identify a category of the source object and a category of the target object. Based on the category or categories of the objects, a feature extraction machine learning models is selected. The source object representation and the target object representation are provided as input to the selected feature extraction machine learning model to generate respective semantic descriptors and shape vectors for the source and target objects. Based on the semantic descriptors and the shape vectors for the source and target objects, an alignment machine learning model generates an aligned target object representation that is aligned with the source object representation and usable for animating the target object.

Object alignment techniques for animation

Growing community of inventors

Zürich, Switzerland

Joan Massich