Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Training method, image processing method, device, electronic equipment and storage medium

A training method and image technology, applied in the field of image processing, can solve problems such as reducing functional practicability and image blurring, and achieve the effects of improving image clarity, edge clarity, and saving training costs.

Active Publication Date: 2022-06-24
BEIJING SWEET SUGARSOFT TECH CO LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the image style conversion function has received extensive attention in the field of deep learning, but in scenarios such as pruning small models and converting specific styles, it usually causes blurred images, which reduces the practicability of this function. Therefore, how to improve the generation The sharpness of the image is an urgent problem to be solved

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
  • Training method, image processing method, device, electronic equipment and storage medium
  • Training method, image processing method, device, electronic equipment and storage medium
  • Training method, image processing method, device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures denote elements that have the same or similar functions. While various aspects of the embodiments are shown in the drawings, the drawings are not necessarily drawn to scale unless otherwise indicated.

[0026] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

[0027] The term "and / or" in this article is only an association relationship to describe the associated objects, indicating that there can be three kinds of relationships, for example, A and / or B, it can mean that A exists alone, A and B exist at the same time, and A and B exist independently B these three cases. In additio...

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 relates to a training method, image processing method, device, electronic equipment, and storage medium. The training method includes: acquiring a real image and a style image corresponding to the real image, wherein the real image and the style image The image styles of the images are different; the real image is input into the generating network to obtain a composite image; the edge in the style image is blurred to obtain a first image; through the discriminant network, according to the composite image and the The first difference between the first image and the second difference between the synthesized image and the style image is adjusted to obtain a generation network for generating a style image. The embodiments of the present disclosure can make the synthetic image generated by the trained generation network not only close to the style image, but also improve the edge definition.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular, to a training method, an image processing method, an apparatus, an electronic device, and a storage medium. Background technique [0002] At present, the image style transfer function has received extensive attention in the field of deep learning. However, in scenarios such as pruning small models and converting specific styles, the generated images are usually blurred, which reduces the practicability of this function. The sharpness of the image is a problem that needs to be solved urgently. SUMMARY OF THE INVENTION [0003] The present disclosure proposes a technical solution for training and image processing. [0004] According to an aspect of the present disclosure, a training method is provided, applied to a generative adversarial network, the generative adversarial network includes: a generative network and a discriminant network, and the training met...

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): G06T3/00G06T5/00G06N3/04
CPCG06T3/0012G06T5/003G06N3/045
Inventor 单钰皓林纯泽王权钱晨
Owner BEIJING SWEET SUGARSOFT TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products