Scene image generation method and device based on generative adversarial network

A scene image and scene graph technology, applied in the field of artificial intelligence, can solve the problems of poor detail effect, unfavorable scene image promotion and application, large error, etc.

Pending Publication Date: 2021-01-29
ARMOR ACADEMY OF CHINESE PEOPLES LIBERATION ARMY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although high-quality images can be generated in the prior art, the detail effect is too poor, especially for scene images, the error between the scene images generated by the model and the actual scene images is relatively large, which is not conducive to the promotion and promotion of computer-generated scene images. application

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  • Scene image generation method and device based on generative adversarial network
  • Scene image generation method and device based on generative adversarial network
  • Scene image generation method and device based on generative adversarial network

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Embodiment Construction

[0044] In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments It is a part of the embodiments of the present disclosure, but not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present disclosure.

[0045] In addition, the term "and / or" in this article is only an association relationship describing associated objects, which means that there may be three relationships, for example, A and / or B, which may mean: A exists alone, A and B exist at the same time, There are three cases of B alone. In addition, the character " / " in this art...

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Abstract

The invention provides a scene image generation method and device based on a generative adversarial network. The method comprises the steps of obtaining current text information; extracting text features in the current text information; extracting scene graph features in the current text information; performing feature fusion on the scene graph features and the text features to generate fusion features; and inputting the fusion feature into a pre-trained scene image generation model to generate a corresponding scene image. In this way, the scene image can be generated according to the description of the text information, so that the generated scene image is closer to the real scene image, and the position relationship between the objects in the scene image can be effectively described.

Description

technical field [0001] Embodiments of the present disclosure generally relate to the technical field of artificial intelligence, and more specifically, relate to a method and device for generating a scene image based on a generative confrontation network. Background technique [0002] With the development of graphics rendering technology, digital signal processing technology, sensing technology, and graphics technology, the research on virtual reality is becoming more and more extensive, that is, using computers to generate realistic images, etc., so that users can interact and control in the virtual environment. In terms of content creation and intelligent editing, many software can change the expression, wrinkles, etc. of images, which puts great demands on high-quality and diverse image generation technologies. At the same time, in many companies (such as credit card companies) that have high requirements for information security, it is necessary to construct virtual frau...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00G06N3/08G06N3/04G06K9/62
CPCG06T11/00G06N3/08G06N3/045G06F18/253
Inventor 邢萌于淼淼李硕豪石志强杨朝红王青海赵萌金丽亚毕建权陈财森
Owner ARMOR ACADEMY OF CHINESE PEOPLES LIBERATION ARMY
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