Shape aware descriptive movement synthesis

Abstract

Techniques for shape aware descriptive movement synthesis are described. In an example, a processing device is operable to receive a description of a body motion and a body, used as input to a trained machine learning system that generates motion data from the description. A shape parameter and a plurality of motion tokens are jointly predicted by the machine learning system based on the description. A plurality of discrete motion features is obtained from applying a finite scalar de-quantization to the motion tokens. Using the machine learning system, the processing device generates a plurality of shape conditioned motion features by integrating a shape feature projected from the shape parameter with the discrete motion features. The shape conditioned motion features are decoded by the machine learning system into the motion data, which models the motion with specific variations caused by the shape. 20 25 25 99 18 30 O ct 2 02 5 A B S T R A C T 2 0 2 5 2 5 9 9 1 8 3 0 O c t 2 0 2 5

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