Method and device for generating text image

A text image and image technology, applied in neural learning methods, biological neural network models, editing/combining graphics or text, etc., can solve problems such as lack of semantics, affecting subsequent model training and testing, and inability to control the style of text and images.

Pending Publication Date: 2021-11-19
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, traditional GAN ​​cannot control the style of the generated text image, and the text in the generated text image may not have reasonable semantics, which will affect the training and testing of subsequent models.

Method used

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  • Method and device for generating text image
  • Method and device for generating text image
  • Method and device for generating text image

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Embodiment Construction

[0067] The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings.

[0068] The method for generating a text image provided by the embodiment of the present application can be applied in the field of deep learning and other scenarios that require a specific style of text image.

[0069] figure 1 A schematic diagram of an application scenario provided in the embodiment of the present application is shown. Such as figure 1As shown, the process of deep learning can include: collecting data, input data, data exploration and preprocessing, training and testing algorithms or evaluation stages.

[0070] The type of data collected can be in many forms. For example, collected data may include photographed text images or scanned text images, among others.

[0071] Wherein, inputting data can also be understood as acquiring data. Specifically, the collected data may be integrated to obtain a data set. Th...

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PUM

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Abstract

The invention discloses a method and a device for generating a text image, and belongs to the field of artificial intelligence (AI). The method comprises the steps of obtaining n to-be-processed text images, determining n prediction latent vectors corresponding to the n to-be-processed text images in a generative adversarial network (GAN) model, determining a target latent vector according to the n prediction latent vectors, and generating a target text image from the target latent vector through the GAN model. According to the method, a text image of a specific style can be generated in a deep learning mode.

Description

technical field [0001] The present application relates to the field of artificial intelligence, and more specifically, to a method and device for generating text images. Background technique [0002] Artificial intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is the branch of computer science that attempts to understand the nature of intelligence and produce a new class of intelligent machines that respond in ways similar to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decision-making. Research in the field of artificial intelligence includes ...

Claims

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Application Information

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IPC IPC(8): G06T11/60G06N3/08G06F40/30
CPCG06T11/60G06N3/08G06F40/30
Inventor 杨佳霖董宇靖黎啸周立君蒋孝霞王辰伊长双
Owner HUAWEI TECH CO LTD
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