Image Attribute Editing for Natural Makeup and Hairstyle Changes
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Solution Overview
Problem
Existing image editing technologies fail to create natural and coordinated effects by uniformly applying makeup or hairstyles, leading to unnatural image attribute changes when only local parts of images are modified.
Innovation Solution
An image processing method and apparatus that utilizes an image attribute parameter changing model to change overall attribute parameters based on image features, using a trained model like StyleGAN to generate high-definition images with varied representations, ensuring natural and unique effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the same makeup or hairstyle effects are uniformly applied to different images, then the image editing process is simple and efficient, but the effects appear unnatural and uncoordinated
Solution Approach 1:
The patent applies local quality by analyzing specific regions of the image (face, hair area) and applying different processing strategies to different locations. The system identifies facial features and hair regions, then applies makeup effects specifically to the face area and hairstyle effects to the hair region, rather than uniformly processing the entire image. This localized approach ensures natural coordination of effects with the specific image content.
Solution Approach 2:
The patent utilizes parameter changes by adjusting attribute parameters (such as makeup intensity, hairstyle style, hair color) based on the analyzed image features. The system dynamically modifies these parameters according to the detected facial features, skin tone, and hair characteristics, transforming the image from its original state to a modified state with naturally coordinated effects.
2Device complexity
If attribute parameters are changed using uniform effects, then the processing method is simple, but the results lack diversity and coordination
Solution Approach 1:
The patent applies segmentation by dividing the image processing into distinct stages: image acquisition, feature analysis (identifying face, hair region, skin tone), effect selection, and parameter adjustment. This segmented approach breaks down the complex task of natural image modification into manageable steps, maintaining processing simplicity while enabling adaptive results through systematic analysis and modification stages.
Solution Approach 2:
The patent implements preliminary action by performing image feature analysis before applying any effects. The system first analyzes the image to identify facial features, hair regions, and skin characteristics, then uses this pre-analyzed information to guide the selection and application of appropriate makeup and hairstyle effects. This preliminary analysis ensures that subsequent effect application is both simple and highly adaptable to the specific image.
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; and inputting the image to be processed to an image attribute parameter changing model to obtain a target image, where a target attribute parameter value of the target image is different from a target attribute parameter value of the image to be processed, and the target attribute parameter value of the target image and the target attribute parameter value of the image to be processed correspond to different target attribute representation states.