Scene image generation method and device based on generative adversarial network

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...

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