1results about How to "Precise change" patented technology

Embodiments of the present application relate to the technical field of image processing, and disclose a method for training an image generation model and related apparatuses. A pre-trained age detection model is used to detect the age of each real face image to obtain a predicted age, and an age difference between the predicted age and a real age is calculated. The age difference and the real face image are input into an image generation network for fusion to generate a predicted face image affected by the age difference. The predicted age can reflect the universal age characteristics of the real face image, and the age difference can reflect the individual age characteristics (older or younger) of the input image. Thus, the age difference can guide the image generation network to learn the individual age characteristics of the input image. The trained image generation model can accurately generate an age change image that conforms to the individual age characteristics and the expected age based on the age difference between the expected age and the real age.