Stylized Image Processing with Key Point Guided Special Effects
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Solution Overview
Problem
Existing image processing methods for special effects often result in poor display effects due to inaccurate application of special effects on target objects, leading to a mismatch between the special effects and the target objects.
Innovation Solution
An image processing method and apparatus that utilizes a pre-trained stylization model to accurately determine key point information of a target object, enabling deep coupling of image stylization with key point detection to improve the matching between the target task and the key point information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If images are stylized using traditional special effect processing methods, then special effect images can be obtained, but target objects in the images become deformed and key point detection accuracy deteriorates
Solution Approach 1:
The patent applies preliminary action by performing key point detection on the original image before stylization occurs. The method detects key points in the input image, uses these detected key points to guide the stylization process, and then performs inverse composition to ensure the final stylized image maintains accurate key point positions. This preliminary detection and guidance mechanism prevents the deformation that would otherwise occur during stylization.
2Productivity
If special effect tasks are applied to stylized images without accurate key point detection, then special effect processing can be completed, but the matching between special effects and target objects deteriorates
Solution Approach 1:
The patent implements feedback by using the detected key point information to guide and adjust the special effect application process. The method detects key points, uses this information to control where special effects are applied, and ensures that special effect elements are precisely positioned on or near the detected key points. This feedback loop between detection and application ensures high matching accuracy while maintaining processing efficiency.
3Ease of operation
If traditional image stylization methods are used, then image processing can be completed, but the coupling between stylization and key point detection is weak, leading to poor task matching
Solution Approach 1:
The patent applies merging by integrating key point detection and stylization into a unified processing framework. The method combines the detection module, control module, and stylization module into a coordinated system where key point detection results directly control the stylization process. This merging creates strong coupling between detection and stylization, improving both adaptability and task matching while maintaining ease of operation through automated integration.
Data Source
AI summary
Embodiments of the present disclosure provide an image processing method and apparatus, an electronic device, and a storage medium. The method includes: obtaining an image to be processed that includes a target object; processing the image to be processed based on a pre-trained stylization model to obtain a target style image with the target object stylized as well as key point information of the target object after stylization; and processing, based on a preset target task and the key point information, the target style image to obtain a target special effect corresponding to the target task.