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Hidden variable decoupling-based face image local feature migration network and method

A local feature, face image technology, applied in the image local feature migration and removal network, based on the hidden variable decoupling of the face image local feature migration and removal network, in the field of generative adversarial networks, can solve the problem of local Makeup migration and other issues

Active Publication Date: 2020-09-08
WUHAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But today's most advanced methods only decouple pictures into content information and makeup information, so they cannot achieve the function of partial makeup transfer

Method used

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  • Hidden variable decoupling-based face image local feature migration network and method
  • Hidden variable decoupling-based face image local feature migration network and method
  • Hidden variable decoupling-based face image local feature migration network and method

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Embodiment Construction

[0039] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0040] please see figure 1 , figure 2 , a face image local feature migration and removal network based on hidden variable decoupling provided by the present invention, including a content encoder E C , a mouth makeup encoder E L , Eye Makeup Encoder E S , facial makeup encoder E F , decoder G, and three discriminators are D X 、D Y 、D XY ; Among them, the encoder and the decoder are collectively referred to as the generator;

[0041] Content Encoder E C Used to extract facial makeup irrelevant features, mouth makeup encoder E L Used to extract mouth...

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Abstract

The invention discloses a hidden variable decoupling-based face image local feature migration network and method. The method comprises the steps of firstly proposing a hidden variable decoupling-basedlocal makeup migration and removal generative adversarial neural network framework; on the basis of a network structure, and innovatively providing a local makeup migration loss function which can beused for training the network, wherein the loss function comprises a local makeup loss function, a local invariant loss function and a local and global makeup invariant loss function; regarding the face picture which is not made up as a special case of the face picture which is made up, processing makeup migration and makeup removal as a unified problem, and obtaining multiple makeup removal effects.

Description

technical field [0001] The invention belongs to the technical field of deep learning and artificial intelligence, and relates to a network and method for transferring and removing local features of images, in particular to a network and method for transferring and removing local features of human face images based on hidden variable decoupling. Belongs to Generative Adversarial Networks. Background technique [0002] How to change the local features of the image (transfer new features and remove new features) is becoming more and more extensive. For example, with the continuous improvement of living standards, women's pursuit of beauty is becoming more and more intense. Makeup has become an essential step for most women before going out. [0003] In real life, the following two scenarios often appear: [0004] Scene 1: When a girl sees a beautiful makeup look, she often imagines how it will look on herself. However, applying makeup is time-consuming, and it can take nearl...

Claims

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Application Information

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IPC IPC(8): G06T3/00G06T5/00G06T5/50G06T9/00G06K9/00G06N3/04G06N3/08
CPCG06T5/50G06T9/002G06N3/084G06T2207/10004G06T2207/20081G06T2207/20084G06T2207/30201G06T2207/20221G06V40/171G06N3/045G06T3/04G06T5/77
Inventor 熊盛武孙朝阳
Owner WUHAN UNIV OF TECH
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