Garment style migration method and system based on deep learning

A deep learning and style technology, applied in image analysis, instruments, biological neural network models, etc., can solve the problems of long style transfer time, ignoring the overall effect of clothing images, etc., to solve the overall poor effect, optimize the image generation effect, The effect of increasing the resolution

Pending Publication Date: 2022-05-06
DALIAN POLYTECHNIC UNIVERSITY
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the above difficulties, the present invention proposes a clothing style transfer method and system based on deep learning to solve the technical problems in the prior art that the style transfer takes a long time and ignores the overall effect of the generated clothing image

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
  • Garment style migration method and system based on deep learning
  • Garment style migration method and system based on deep learning
  • Garment style migration method and system based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0066] In order to make those skilled in the art better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only Embodiments are part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0067] It should be noted that the terms "first", "second" and the like in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used may be interchanged under appropriate ...

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 discloses a garment style migration method and system based on deep learning, and relates to the technical field of garment design, and the system comprises a data acquisition and processing module, a feature analysis and extraction module, a style model generation and application module, an image migration and generation module, and an image output module. The data acquisition and processing module is used for selecting style images and preprocessing the images; the feature extraction module is mainly used for extracting color features, texture features and contour features; the style model generation and application module is used for generating a style model; the image migration and generation module comprises a personalized style migration function and a rapid style migration function, and is used for carrying out semantic segmentation on a source clothing image, and style migration can be directly carried out through the above modules, or rapid style migration is realized by calling a style model in a style model library; and the image output module is used for improving and displaying the resolution of the generated image. The style migration time is shortened, and the overall effect of the generated garment image is improved.

Description

technical field [0001] The invention relates to the technical field of intelligent clothing design, in particular to a clothing style transfer method and system based on deep learning. Background technique [0002] Fashion is a rapidly changing industry, and the designs are changing every season, and the fashion industry's requirements for clothing styles are becoming more and more personalized. However, in the traditional clothing design process, clothing designers need to spend a lot of time conceiving and drawing sketches to compare different clothing styles, and clothing style transfer can achieve this effect (clothing style transfer is to convert the target style image into The style of the clothing is migrated to the source clothing image, so that the clothing in the source clothing image has the style in the target style image). With the deepening of the application of artificial intelligence in various industries, the clothing industry is also using artificial intel...

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): G06T3/00G06T7/90G06N3/04G06K9/62G06V10/762G06V10/774G06V10/82
CPCG06T3/0012G06T7/90G06N3/045G06F18/23213G06F18/214
Inventor 王伟珍张功
Owner DALIAN POLYTECHNIC UNIVERSITY
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
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap