A mobile face age editing method based on stylegan

Abstract

The invention discloses a method for editing face age at a mobile terminal based on StyleGAN: S1, preparing a face picture training data set, and marking part of the face pictures in the face picture training data set to obtain age labels; S2, using the Face picture training data set training feature extraction model and generation model; S3, use part of the data in the face picture training data set and feature extraction model to train the face age classifier; S4, select resolution and channel coefficient ， Input the generated model to obtain a sub-model; S5, extract its coefficients for the face age classifier, which is an attribute vector capable of judging the age of a face; S6, use the sub-model and the attribute vector to edit the face picture to be edited. The technical scheme of the invention can reduce deployment and maintenance costs, enhance user data security, avoid personal privacy leakage, remove software dependence on the network, and enable users to use software anytime and anywhere.

Description

technical field [0001] The invention belongs to the technical field of image processing, and more specifically, relates to a method for editing face age at a mobile terminal based on StyleGAN. Background technique [0002] Generative Adversarial Networks (GANs) are one of the most promising approaches for unsupervised learning on complex distributions in recent years. The model produces quite good output through the mutual game learning of two modules in the framework: the generative model and the discriminative model. GAN can generate data that does not exist in the real world, and plays an important role in image generation, image denoising, and data enhancement. [0003] StyleGAN designs a new generator network structure inspired by style transfer. The new network structure can decouple and separate the high-level semantic attributes of the image through unsupervised automatic learning, such as the pose and identity of the face image, and the random changes of the gener...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the above defects or improvement needs of the prior art, the present invention provides a method for editing face age at the mobile terminal based on StyleGAN, the purpose of which is to directly deploy on the mobile phone to edit the age of the face, thereby solving the problem of high system deployment cost , need to upload image data, technical problems with long processing time

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