A picture editing method and related device
By detecting user operation types and using AI models to adjust the shape and material of stickers, the problem of poor integration between stickers and images was solved, resulting in better image editing effects.
CN122336044APending Publication Date: 2026-07-03HUAWEI TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUAWEI TECH CO LTD
- Filing Date
- 2024-12-31
- Publication Date
- 2026-07-03
AI Technical Summary
Technical Problem
The existing methods for adding stickers to images are limited, making it difficult to integrate them with the original images and resulting in poor image editing effects.
Method used
By detecting the type of user control operations on the target object, and using artificial intelligence models and depth information, the shape and material of the sticker are adjusted to better blend with the image, including projection, material transformation, and real-time size adjustment.
Benefits of technology
It enhances the integration of stickers and images, increasing the diversity and presentation of image editing.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122336044A_ABST
Abstract
This application discloses an image editing method. This method determines different processing methods for the target object based on different operation types of control operations on the target object to be added to the image. This supports adding the target object to the image using different texture mapping methods, thus supporting multiple texture mapping techniques. This enriches the types of image editing, enhances the functionality of image editing, and can meet the diverse needs of users for image editing. Furthermore, users can choose to perform corresponding processing operations on the target object before adding it to the image for texture mapping, which can enhance the integration of the added target object with the image and improve the presentation effect of the target image obtained after texture mapping.
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