广告图像的生成方法、装置、电子设备和存储介质

By acquiring advertising input information and using a text-based image model to generate advertising images that include text information, the problem of poor performance of Chinese data and poor integration of text and background images is solved. This achieves efficient, personalized, and diverse generation of advertising images and improves visual effects.

CN119579717BActive Publication Date: 2026-07-17BEIJING BAIDU NETCOM SCI & TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING BAIDU NETCOM SCI & TECH CO LTD
Filing Date
2024-11-12
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing advertising image generation technologies perform poorly on Chinese data, failing to accurately express user needs, lacking the ability to generate commercial marketing scenarios, and exhibiting poor integration of Chinese copy and background images in advertising images, resulting in a lack of diversity.

Method used

By acquiring the input information of the advertisement to be pushed, determining the push prompt words, and using the first text-based image model to generate the target advertisement image including the copy information, the text control capability and image generation quality are enhanced by training with a large language model and a diffusion model, so as to realize the personalization and diversity of the advertisement image.

Benefits of technology

It improves the efficiency of generating advertising images, enhances the integration of text and background images, meets user needs, increases the visual appeal and diversity of advertising images, and reduces the workload of manually creating templates.

✦ Generated by Eureka AI based on patent content.

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Abstract

本公开提出了一种广告图像的生成方法、装置、电子设备和存储介质,涉及人工智能技术领域,具体为大模型和图像处理等技术领域,包括:获取待推送广告的输入信息;根据输入信息,确定待推送广告的推送提示词,其中推送提示词中包括待推送广告的文案关联信息;将推送提示词输入第一文生图模型中,由第一文生图模型根据推送提示词生成待推送广告的目标广告图像,目标广告图像上包括待推送广告的文案信息,由此,本公开由第一文生图模型根据推送提示词生成待推送广告的目标广告图像,提高了广告图像的生成效率,可以更好地满足和理解用户的需求,提高了广告图像的多样性和视觉效果。
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