Abstract: A generation method of a human body motion editing model, storage medium and electronic device. The method includes taking initial motion sequence, target object attributes and target motion sequence as training samples; inputting initial motion sequence and target object attribute into preset neural network model, obtaining generated motion sequence output by preset neural network model; training preset neural network model according to target motion sequence and generated motion sequence to obtain trained human body motion editing model. Through using intermotion motion sequence of person and object as training sample, human body motion style migration is realized only by utilizing object attributes, so human intervention amount in data preprocessing process is reduced, human-object intermotion movement matched with attributes can be correspondingly generated by applying different attributes of same object, and reuse value of motion capture data is improved.

Abstract: A generation method of a human body motion editing model, storage medium and electronic device. The method includes taking initial motion sequence, target object attributes and target motion sequence as training samples; inputting initial motion sequence and target object attribute into preset neural network model, obtaining generated motion sequence output by preset neural network model; training preset neural network model according to target motion sequence and generated motion sequence to obtain trained human body motion editing model. Through using intermotion motion sequence of person and object as training sample, human body motion style migration is realized only by utilizing object attributes, so human intervention amount in data preprocessing process is reduced, human-object intermotion movement matched with attributes can be correspondingly generated by applying different attributes of same object, and reuse value of motion capture data is improved.