Face image style migration method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a style migration method and device of a face image, electronic equipment and a storage medium. The method comprises the steps of inputting a to-be-migrated face image into a first convolutional neural network to obtain a style-migrated target face image; wherein the first convolutional neural network is obtained by training an animation face image sample and a real person face image sample according to face features; wherein the human face features comprise a human face region and a human face width; wherein the to-be-migrated human face image is an animation human face image or a real human face image, and correspondingly, the target human face image is a real human face image or an animation human face image, and training the animation human faceimage sample and the real human face image sample through the human face area and the human face width to obtain a first convolutional neural network. According to the invention, style migration processing is carried out on the to-be-migrated face image through the first convolutional neural network to obtain the target face image, bidirectional style migration of the animation face image and thereal face image can be realized, face structure features are maintained, and face deformation is reduced.

Description

technical field [0001] The present invention relates to the field of image technology, in particular to a style transfer method, device, electronic equipment and storage medium for face images. Background technique [0002] Anime has always been loved by people, and anime lovers like to make anime characters real or animate their own images. Usually, anime live-action is close to the image of anime characters by creating makeup, hairstyles, and clothing for real people; live-action animation uses manga writers to directly create animations of real human faces, and this process is usually time-consuming and laborious. [0003] In the prior art, a single transfer between an anime face and a real face is realized based on a convolutional neural network, that is, an automatic conversion from an anime face to a real face, or from a real face to an anime face. However, due to the large difference between the exaggerated structure of the anime face and the structure of the real fa...

AI Technical Summary

Problems solved by technology

However, due to the large difference between the exaggerated structure of the anime face and the structure of the real face, the transfer effect is often incomplete, and it is easy to cause serious facial deformation; and the style transfer method based on the generative confrontation network, although it can be generated by random noise Amazing face pictures, but the network lacks the constraints of high-level semantic features of the face, which is also prone to serious facial deformation and other problems

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