Digital Human Clothing Texture Generation for Cross-Species Matching
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Solution Overview
Problem
Existing technologies struggle to enhance user experience by effectively personifying target objects, such as pets, in digital humans due to challenges in matching features between different species and ensuring aesthetic compatibility.
Innovation Solution
A method involving image segmentation, digital human selection based on aesthetic compatibility, and clothing texture generation using large models to create personalized digital humans that resonate with target objects, combined with driving parameters for human-like interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing technologies are used to personify target objects in digital humans, then digital human generation is achieved, but feature matching between different species and aesthetic compatibility are poor
Solution Approach 1:
The patent introduces a clothing texture as an intermediary element between the target object and the digital human. The clothing texture serves as a mediator that carries appearance features from the target object (such as pets) and transfers them to the digital human, enabling cross-species feature matching without directly merging different species' characteristics. This intermediary approach maintains aesthetic compatibility while achieving the desired personification effect.
2Productivity
If digital human generation is simplified, then generation speed is improved, but personalization and emotional engagement are reduced
Solution Approach 1:
The patent employs preliminary action by pre-generating a diverse digital human set with various appearances, expressions, and characteristics before the actual generation process. When a target object needs to be personified, the system selects from this pre-prepared set and applies the clothing texture with extracted appearance features. This approach maintains high generation speed while achieving strong personalization, as the bulk of the creative work is done in advance and only minor adjustments are needed for each specific target object.
Data Source
AI summary
Provided is a method for generating a digital human, an intelligent agent, an electronic device and a storage medium, relating to the field of artificial intelligence technology, and particularly to the fields of computer vision, deep learning, large model, augmented reality and other technologies. The method includes: segmenting a target object from an image to be processed to obtain a target sub-image; selecting a digital human to be optimized that is compatible with the target object from a digital human set based on the target sub-image; generating clothing texture of the digital human to be optimized based on an appearance feature of the target object in the target sub-image; applying the clothing texture to the digital human to be optimized to obtain a target digital human; and driving the target digital human.


