An image processing method and device based on an adversarial generation network

An image processing and image synthesis technology, which is applied in biological neural network models, neural learning methods, character and pattern recognition, etc. It can solve the problems of less discussion and application of the practical effectiveness of images, and achieves solving model performance bottlenecks and improving models. performance effect

Active Publication Date: 2019-05-03
BEIJING JIAOTONG UNIV
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Problems solved by technology

At present, the generative confrontation network algorithm in the existing technology mainly focuses on generatin

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  • An image processing method and device based on an adversarial generation network
  • An image processing method and device based on an adversarial generation network
  • An image processing method and device based on an adversarial generation network

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[0025] The following describes the embodiments of the present invention in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals indicate the same or similar elements or elements with the same or similar functions. The following embodiments described with reference to the accompanying drawings are exemplary, and are only used to explain the present invention, and cannot be construed as limiting the present invention.

[0026] Those skilled in the art can understand that, unless specifically stated otherwise, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations...

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Abstract

The invention provides an image processing method and device based on an adversarial generation network. The method comprises the steps of S1, obtaining a first face sample image; obtaining a first face multi-attribute condition; S2, inputting the first face sample image and the first face multi-attribute condition into a trained generative adversarial network to obtain a first synthetic image; and step S3, taking the first synthetic image as a face image conforming to the first face multi-attribute condition, and outputting the face image.

Description

technical field [0001] The present invention relates to the technical field of confrontation generation network, in particular to an image processing method and device based on confrontation generation network. Background technique [0002] With the development of neural network technology, neural network technology is being applied in more and more scenarios, such as pattern recognition, data compression, function approximation, etc., and face recognition, as one of the most active branches in biometric recognition, is also Gaining importance. Among them, image and video retrieval and face attribute analysis are important applications of face recognition. Taking age estimation in face recognition as an example, in the traditional age estimation technology, due to the lack of face image sample data, it can only be based on Age distribution mining with limited data, or after obtaining image information of different regions of the face, age estimation is performed by combinin...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
Inventor 金一黄杨茹李哲钱晨李浥东郎丛妍
Owner BEIJING JIAOTONG UNIV
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