Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Makeup style migration method and system based on regional style consistency

A consistency and style technology, applied in the direction of instruments, biological neural network models, character and pattern recognition, etc., can solve problems such as unfavorable model training

Pending Publication Date: 2020-11-17
WUHAN UNIV OF TECH
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing methods all decompose makeup into three parts: lip makeup, eye makeup and facial makeup, but the complexity of these three sub-makeups is not similar. Lip makeup is often relatively simple, eye makeup is relatively complex, and facial makeup is more diverse. sex
Such a division method is not conducive to the training of the model

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Makeup style migration method and system based on regional style consistency
  • Makeup style migration method and system based on regional style consistency
  • Makeup style migration method and system based on regional style consistency

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0048] It is proposed in the embodiment of the present invention that the task of makeup style transfer aims to give a reference makeup image and a plain face image In the case of , the reference makeup is transferred to the face without makeup while maintaining the identity information of the face without makeup, and the target face image with makeup is obtained Among them, Y represents the image domain with makeup, and X represents the image domain without makeup.

[0049] see figure 1 , a makeup style migration method based on regional style consistency proposed in the embodiment, using the Generative Adversarial Network (GAN) to complete the makeup style migration task, the embodiment uses the plain face image and reference makeup face images Input it into the confrontation generation network, and adjust the gene...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a makeup style migration method and system based on regional style consistency, and the method comprises the steps: inputting a plain face image and a reference makeup face image, and deformation images to obtain a pseudo makeup face image; based on the number of preset sub-makeup styles, performing makeup segmentation on the pseudo makeup face image through an SOM network by using the color texture information of the makeup, decomposing the makeup style into the sub-makeup styles, and dividing the overall makeup into different sub-makeup style areas to obtain an approximate result of a makeup segmentation result of the target makeup face image; inputting the plain face image and the reference makeup face image into an adversarial generative network, adjusting a generative network module in the adversarial generative network through regional adaptive normalization, and applying the same normalization mode to the same sub-style region to enhance the consistency oflong-distance similar makeup regions; and enabling the generation network module to output the target makeup face image, so that a better makeup style migration image effect can be realized.

Description

technical field [0001] The invention relates to the technical field of image generation, in particular to a technical solution for makeup style migration based on regional style consistency. Background technique [0002] Makeup is a common way to enhance your appearance. Through the use of cosmetics and tools, the face and facial features can be rendered, painted, flaws covered, shape and color adjusted, and three-dimensional impression enhanced, thereby increasing beauty and charm. Therefore, in the field of image processing technology, makeup processing is also an important application scenario. For example, the authorized patent CN108090465B provides a makeup effect processing model training method and makeup effect processing method, and the authorized patent CN105956150B provides a method for generating user discovery and makeup matching suggestions. Methods and devices. [0003] Facial makeup transfer is a new application technology in the field of image processing i...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06N3/04
CPCG06V40/162G06V40/168G06V10/267G06N3/045
Inventor 熊盛武连洁雅王豪杰
Owner WUHAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products