Generative Facial Image Fusion for Realistic Garment Try-On
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Solution Overview
Problem
Traditional garment customization methods lack realism and accuracy, require significant human resources and time, and are complex for ordinary users to operate, making it difficult to intuitively showcase how garments look on different body types.
Innovation Solution
A method and system for personalized image generation using generative algorithms to fuse facial images with dressing effect images, allowing users to adjust and customize garment elements, and a method for facial consistency preservation through feature vector fusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional garment customization methods (hand-drawing, image editing software, virtual reality) are used, then some level of customization is achieved, but the realism and accuracy of the garment display is insufficient
Solution Approach 1:
The patent replaces traditional mechanical/image-editing methods with AI generative algorithms. Instead of using image editing software that requires manual manipulation, the system uses generative AI to automatically create realistic garment try-on images by learning from training data, thereby improving realism while reducing operational complexity
Solution Approach 2:
The patent creates virtual copies of garments and models through AI-generated images. Rather than requiring physical garments or complex virtual reality setups, the system generates photorealistic images that copy the appearance of actual garment-wearing scenarios, achieving high realism without the complexity of traditional methods
2Productivity
If traditional garment customization methods are used, then some customization capability is provided, but significant human resources and time are required
Solution Approach 1:
The patent implements self-service through automated AI processing. The system automatically performs image generation, garment segmentation, and model integration without requiring manual intervention at each step, dramatically improving productivity while reducing the time and human resources needed compared to traditional methods
Solution Approach 2:
The patent performs preliminary actions by pre-training the generative AI model on large datasets of garment and model images. This preliminary training enables the system to quickly generate realistic try-on images during actual use without requiring significant time or resources during the customization process itself
3Ease of operation
If virtual reality technology is used for garment rendering, then immersive visualization is achieved, but expensive equipment and specialized knowledge are required making it complex for ordinary users
Solution Approach 1:
The patent replaces expensive virtual reality equipment with accessible AI image generation technology. Instead of requiring costly VR headsets and specialized hardware, the system uses software-based generative AI that can be accessed through standard devices, improving ease of operation while maintaining visual fidelity through advanced algorithms
Data Source
AI summary
A method and a system for personalized image generation are provided. The method includes: determining a facial description text specified by a user; generating, based on the facial description text, a facial image by using a generative algorithm; obtaining a first dressing effect image of a target garment, the first dressing effect image presenting a wearing effect of the target garment on a digital model; and generating a second dressing effect image of the target garment by performing a fusion operation on the facial image and the first dressing effect image, the second dressing effect image presenting a wearing effect of the target garment on a fused digital model. The provided solution not only enables the rapid, high-quality generation of garment images but also ensures that the fused images maintain feature consistency, meeting users' personalized display preferences.