Face image restoration method based on multi-discriminator generative adversarial network

Abstract

The invention discloses a face image restoration method based on a multi-discriminator generative adversarial network, and the method comprises the following steps: (1) carrying out the preprocessingof images in a disclosed face image database, and inputting the images into a generator, so as to obtain a generated image; (2) inputting the real image and the generated image into a plurality of discriminators to obtain a feedback value; (3) taking the feedback values of the plurality of discriminators as confrontation loss, and performing confrontation training on the generative adversarial network by combining the perception loss and the reconstruction loss; and (4) inputting the missing face image into the trained generator to obtain a repaired face image. Aiming at the problem of repairing the shielded or damaged face image, a generative adversarial network structure with multiple discriminators is adopted, so that the problem of low authenticity of the repaired image is solved, andthe repaired image is more natural and more real.

Description

technical field [0001] The invention relates to the fields of computer vision and pattern recognition, in particular to a face image restoration method based on a multi-discriminator generation confrontation network. Background technique [0002] With the development of science and technology, electronic devices such as mobile phones, tablet computers and digital cameras have been widely popularized. Using electronic devices to take pictures has become a common behavior in people's daily life. At the same time, with the development of the mobile Internet, people are keen on entertainment and sharing social activities related to face photos, and the aesthetic requirements for face images obtained by taking photos are getting higher and higher. Existing electronic devices provide a series of camera functions, which can automatically beautify face images, including functions such as whitening, acne removal, and automatic makeup, but lack related functions for face image restor...

AI Technical Summary

Problems solved by technology

Although the generative confrontation network can repair some face images, it is difficult for existing technologies to provide a more realistic and realistic face repair image stably.

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