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/System And A Method For Generative Human Motion Style Transfer
Abstract

A method and a server for training a generative stylization system to generate motion sequences for digital objects are provided. The method comprises: generating, based on a training motion feature vector representative of a given training motion sequence of a training digital object, a respective training motion content feature vector representative of a content of the given training motion sequence; stochastically generating a respective training motion style feature vector representative of a style of the given training motion sequence; generating, based on the respective training motion content and style feature vectors, a synthetic motion feature vector representative of a synthetic motion sequence; and training the generative stylization system to generate an in-use synthetic motion sequence by minimizing a difference between the training motion feature vector and the synthetic motion feature vector

Full Text

What is claimed is:

A method and a server for training a generative stylization system to generate motion sequences for digital objects are provided. The method comprises: generating, based on a training motion feature vector representative of a given training motion sequence of a training digital object, a respective training motion content feature vector representative of a content of the given training motion sequence; stochastically generating a respective training motion style feature vector representative of a style of the given training motion sequence; generating, based on the respective training motion content and style feature vectors, a synthetic motion feature vector representative of a synthetic motion sequence; and training the generative stylization system to generate an in-use synthetic motion sequence by minimizing a difference between the training motion feature vector and the synthetic motion feature vector
Timeline
Filed
03/06/2026
Published
07/09/2026
Granted
Not Available
IPC Codes(3)
G06T 13/40:of characters, e.g. humans, animals or virtual beings
G06N 3/0475:Generative networks
G06N 7/01:Probabilistic graphical models, e.g. probabilistic networks