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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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  • Application Information

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Problems solved by technology

At present, the generative confrontation network algorithm in the existing technology mainly focuses on generating the visual effect of the image, and rarely discusses and applies it on the practical effectiveness of the image.

Method used

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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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Embodiment Construction

[0025] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0026] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said 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, elements, components, and / or groups thereof. It will be understoo...

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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...

Claims

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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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