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

Method and system for generating clothing collocation scheme enhancement based on generative auxiliary template

A generative and template technology, applied in neural learning methods, biological neural network models, character and pattern recognition, etc.

Active Publication Date: 2022-03-25
SHANDONG UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In fact, how to seamlessly integrate auxiliary template generation into compatibility modeling and improve performance is a big challenge
In addition, how to accurately generate a complementary lower garment template for a given upper garment to accurately guide compatibility modeling also faces great challenges.

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
  • Method and system for generating clothing collocation scheme enhancement based on generative auxiliary template
  • Method and system for generating clothing collocation scheme enhancement based on generative auxiliary template
  • Method and system for generating clothing collocation scheme enhancement based on generative auxiliary template

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] Embodiment 1, this embodiment provides a generation method based on a generative auxiliary template enhanced clothing collocation scheme;

[0030] Such as figure 1 As shown, the generative auxiliary template-based enhanced clothing collocation scheme generation method includes:

[0031] S1: Build a generative-based auxiliary template to enhance the clothing collocation model; build a training set;

[0032] S2: Input the training set into the constructed generative-based auxiliary template-enhanced clothing collocation model for training, and obtain the trained generative-based auxiliary template-enhanced clothing collocation model;

[0033] S3: Input the tops to be matched into the trained auxiliary template-based enhanced clothing matching model, and output the best matching bottoms;

[0034] The top to be matched and the best bottom to be matched are output as the final clothing matching scheme.

[0035] As one or more embodiments, the generative-based auxiliary te...

Embodiment 2

[0127] Embodiment 2, this embodiment also provides a generating system based on a generative auxiliary template to enhance clothing collocation schemes;

[0128] Enhanced clothing matching scheme generation system based on generative auxiliary templates, including:

[0129] A building module configured to: build a generative auxiliary template-based enhanced clothing collocation model; build a training set;

[0130] The model training module is configured to: input the training set into the constructed auxiliary template-based augmented clothing matching model for training, and obtain the trained auxiliary template-based augmented clothing matching model;

[0131] The scheme generating module is configured to: input the tops to be matched into the trained auxiliary template-based enhanced clothing matching model, and output the most matching bottoms;

[0132] The top to be matched and the best bottom to be matched are output as the final clothing matching scheme.

Embodiment 3

[0133] Embodiment 3. This embodiment also provides an electronic device, including a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are executed by the processor, the computer instructions in Embodiment 1 are completed. steps of the method described above.

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 present disclosure discloses a method and system for generating a generative-based auxiliary template enhanced clothing collocation scheme, including: constructing a generative-based auxiliary template enhanced clothing collocation model; building a training set; inputting the training set into the constructed generative-based auxiliary The template-enhanced clothing collocation model is trained, and the trained auxiliary template-based enhanced clothing collocation model is obtained; the tops to be matched are input into the trained generative-based auxiliary template-enhanced clothing collocation model, and the best matching model is output. The bottom garment; the top to be matched and the best matching bottom are output as the final clothing matching scheme.

Description

technical field [0001] The present disclosure relates to the technical field of clothing collocation proposal recommendation, in particular to a method and system for generating a clothing collocation proposal based on a generative auxiliary template enhancement. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] In the process of realizing the present disclosure, the inventors found that the following technical problems existed in the prior art: [0004] Due to the huge economic value of the fashion industry, there are more and more studies related to fashion analysis, especially clothing matching. Due to the recent advances in representation learning, many current studies are devoted to the similarity between complementary items to help people in clothing matching. In a sense, existing methods mainly use advanced neural networks to learn latent ...

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 Patents(China)
IPC IPC(8): G06F16/9535G06F40/30G06V10/74G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06F16/9535G06N3/08G06N3/045G06F18/22
Inventor 刘金环宋雪萌马军任昭春陈竹敏聂礼强
Owner SHANDONG UNIV
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