Face image synthesis method and device, electronic equipment and storage medium

Abstract

The invention discloses a face image synthesis method and device, an electronic device and a storage medium. The method comprises the steps of obtaining a face portrait image and a face photo image; obtaining a face portrait training image block set and a face photo training image block set according to the face portrait image and the face photo image; training a deep neural network model according to the face portrait training image block set and the face photo training image block set, and obtaining a deep feature representation model according to the deep neural network model; and obtaininga first combination weight set according to the face photo test image, the probability graph model and the depth feature representation model, and obtaining a face synthesis image of the face photo test image according to the first combination weight set. According to the method, the depth feature representation and the probability graph model are adopted for modeling, and compared with an existing method, uncontrollable situations such as complex backgrounds, illumination and shielding can be better coped with, so that the image quality and the detail structure quality of the synthesized image are improved.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence and image processing, and in particular relates to a face image synthesis method, device, electronic equipment and storage medium. Background technique [0002] With the development of science and technology and the improvement of computer computing performance, the synthesis method of face photos to face sketch portraits has a wide range of application values ​​in social public security and digital entertainment, and the research on face image synthesis methods is of great significance. [0003] Due to the different generation mechanisms of face photos and face sketch portraits, there are obvious differences in texture and facial details. Face images collected by surveillance cameras have problems such as occlusion, angle and blur, which bring difficulties to face retrieval and identification of target personnel. At this time, a sketch portrait of the target face can be drawn by ...

AI Technical Summary

Problems solved by technology

[0004] However, most of the above-mentioned existing face image synthesis methods use traditional artificial design features to represent the features of face images, and artificial design features cannot cope with uncontrolled conditions such as complex backgrounds, lighting, and occlusions, resulting in the result of face image synthesis. poor image quality

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