The application provides an
image generation method based on style content adaptive normalized
pose guidance, belonging to the technical field of
image synthesis, inputting a person image, selecting a
source image and a target image in the person image, generating a target person image consistent with the
source image style and the same as the target image
pose, first, the
pose information transfer is performed in advance by using an aligned multi-scale content transfer network to predict a target edge map, which not only retains the texture content but also can relieve the spatial
dislocation. Secondly, the source style feature is gradually transferred to the target pose and reasonable arrangement is realized by using a style
texture transfer network, which is realized by a style adaptive normalization generator, the source style feature, the target pose and the edge are mapped in the same hidden space, the consistency of the style texture and the content is enhanced by adaptively adjusting the source style and the target pose, so that the source style feature is retained to enhance the texture details of the target generation.