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Stylized image generation method, device and equipment and storage medium

A stylized, image-based technology, applied in the field of image processing, can solve problems such as unsatisfactory

Pending Publication Date: 2018-12-07
GUANGDONG UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although the above method can perform various overall stylization processing on the entire picture, in some cases, only a certain area in the picture needs to be styled while the others remain unchanged, or when different styles are required for multiple areas, the above method cannot meet the requirements.

Method used

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  • Stylized image generation method, device and equipment and storage medium
  • Stylized image generation method, device and equipment and storage medium
  • Stylized image generation method, device and equipment and storage medium

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Embodiment Construction

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0038] The invention provides a method for generating a stylized image, such as figure 1 shown, including the following steps:

[0039] S101. Perform style transformation on the original image using selected images of different styles respectively, to obtain a stylized original image;

[0040] S102. Segment a target area from the stylized original image through a multi-task cascade network according to the stylized target required by the original image;

[0...

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Abstract

The invention discloses a stylized image generation method, device and equipment and a storage medium. The method comprises the following steps: carrying out style conversion on an original image through different styles of selected images to obtain a stylized original image; segmenting a target region from the stylized original image through a multi-task cascaded network according to a stylization target required by the original image; and fusing the segmented target region into the original image through an MRF model to generate a stylized image having the target region. The method can accurately classify the target region through the multi-task cascaded network and adopts the MRF model when the target region is fused with the original image, so that transition between the target regionand a background image of the original image can be smoother, the stylized image is allowed to take the content as contour and have a desired style, image stylization effect is ensured, and finally, specific region stylization or multi-region stylization of the image can be realized.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method, device, equipment and storage medium for generating a stylized image. Background technique [0002] At present, in the existing image stylization processing methods based on deep learning, each segmented superpixel is generally analyzed and labeled by training a neural network, and then the target object is extracted and predicted for the image, and the image is enhanced according to the style requirements. Or weaken the processing, so as to obtain the stylization of the picture. [0003] Although the above method can perform various overall stylization processing on the entire picture, in some cases, only a certain area in the picture needs to be styled while the others remain unchanged, or when different styles are required for multiple areas, the above method cannot meet the requirements. . [0004] Therefore, how to implement specific region styli...

Claims

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Application Information

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IPC IPC(8): G06T11/00G06T7/11G06N3/04
CPCG06T7/11G06T11/001G06T2207/20104G06T2207/20221G06T2207/10004G06T2207/20084G06T2207/20081G06N3/045
Inventor 叶武剑蔡若君刘怡俊翁韶伟张子文
Owner GUANGDONG UNIV OF TECH
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