Key-Point Image Stylization for Personalized Deformation Control
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Solution Overview
Problem
Existing image processing methods using generative adversarial networks fail to effectively generate stylized images with both specified styles and personalized features from original images, resulting in poor image generation effects and user experience.
Innovation Solution
Determine position information of key points in an original image, apply deformation coefficients to adjust these points, and generate a target image with stylization deformation based on the original image, incorporating both specified styles and personalized features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generative adversarial networks are used for stylized image processing, then stylized conversion can be performed on images, but the generated images fail to effectively combine specified styles with personalized features from original images
Solution Approach 1:
The patent segments the image processing into distinct modules: key point detection module, deformation coefficient calculation module, and stylized image generation module. This segmentation allows each module to specialize in specific tasks, improving overall precision while maintaining versatility. The key point detection identifies specific locations, the deformation module adjusts these points according to style requirements, and the generation module creates the final stylized image, ensuring both style application and personalization are achieved with high precision.
Solution Approach 2:
The patent applies local quality by detecting key points at specific locations in the image and applying deformation coefficients selectively to these key points rather than uniformly across the entire image. This allows different regions of the image to be stylized according to their specific characteristics and requirements, maintaining personalized features while applying specified styles, thereby resolving the contradiction between adaptability and manufacturing precision.
2Adaptability or versatility
If existing image processing methods are used, then stylized processing can be performed, but user experience deteriorates due to poor image generation effects
Solution Approach 1:
The patent incorporates feedback mechanisms where the system detects key points, calculates deformation coefficients based on style requirements and original image characteristics, and generates stylized images that are evaluated for quality. This feedback loop allows the system to iteratively improve the generation effects, ensuring high user experience while maintaining versatility in stylized processing capabilities.
Solution Approach 2:
The patent changes parameters such as deformation coefficients and key point positions to optimize the stylized image generation. By adjusting these parameters based on the original image characteristics and desired style, the system achieves high generation effects that enhance user experience while maintaining broad adaptability for different stylization tasks.
Data Source
AI summary
The present disclosure provide an image processing method and apparatus, a device, and a medium. An embodiment of the method includes: obtaining an original image comprising a target object; determining, based on the original image, position information of a plurality of key points corresponding to the target object; obtaining a deformation coefficient that is set for the key points; and generating, based at least on the position information of the key points and the deformation coefficient, a target image corresponding to the original image according to a preset style, wherein the target image comprises a deformed object generated by performing stylization deformation on the target object.