Face Change Feature Fusion for Identity and 3D Attribute Preservation
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Solution Overview
Problem
Existing face change technologies struggle to maintain identity consistency while preserving the three-dimensional attributes of the target face, resulting in low clarity, accuracy, and authenticity in face change images.
Innovation Solution
An image processing method that involves inputting identity and attribute features into a face change model, performing iterative feature fusion to generate a target face change image that maintains identity consistency and preserves the three-dimensional attributes of the target face.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing face change technologies are used, then face replacement can be achieved, but identity consistency and three-dimensional attribute preservation are compromised, resulting in low clarity, accuracy, and authenticity
Solution Approach 1:
The patent segments the face change process into distinct feature extraction stages: identity feature extraction from the source image and attribute feature extraction from the target image. This segmentation allows independent optimization of each feature type, ensuring both identity consistency and attribute preservation without mutual interference, thereby resolving the contradiction between accuracy and reliability
Solution Approach 2:
The patent introduces a feature fusion mechanism as an intermediary that combines identity features and attribute features. This fusion process acts as a mediator that balances both requirements: it ensures identity consistency by prioritizing identity features while preserving three-dimensional attributes through attribute feature integration, thus resolving the contradiction between the two competing requirements
2Productivity
If face change is performed without iterative feature fusion, then processing speed may be improved, but the clarity, accuracy, and authenticity of the result deteriorates
Solution Approach 1:
The patent implements periodic action through iterative feature fusion, where the fusion process is repeated multiple times with progressively refined weights. Each iteration周期 improves the balance between identity and attribute features, gradually enhancing face change quality while maintaining acceptable processing speed through optimized convergence
3Reliability
If attribute features are heavily weighted, then three-dimensional attribute preservation is improved, but identity consistency deteriorates
Solution Approach 1:
The patent applies dynamics by implementing adaptive weight adjustment in the feature fusion process. The weights of identity features and attribute features are not fixed but dynamically adjusted based on their respective contributions to the final result. This dynamic balancing act ensures that neither identity consistency nor attribute preservation dominates, resolving the contradiction between these two requirements
Data Source
AI summary
This application provides an image processing method and apparatus. The method includes acquiring an identity feature of a source image and an initial attribute feature of at least one measure of a target image in response to receiving a face change request; inputting the identity feature and the initial attribute feature of the at least one measure into a face change model; iteratively performing feature fusion on the identity feature and the initial attribute feature of the at least one measure by using the face change model to obtain a fusion feature; and generating a target face change image based on the fusion feature by using the face change model, and outputting the target face change image, a face in the target face change image being fused with an identity feature of the source face and a target attribute feature of the target face.