Virtual Asset Selection via AI Tagging and Template Adaptation
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Solution Overview
Problem
Designers and developers face challenges in efficiently creating and animating complex virtual assets for virtual scenes, as well as in accessing and identifying suitable virtual assets from other creators that match the desired design style.
Innovation Solution
A platform that uses an asset characterization model and an AI-driven asset tagging model to automatically determine characteristics and assign tags to virtual assets, allowing for efficient search and inclusion of assets in virtual scenes, and generating assets if matching ones are not found.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If designers manually create and animate each virtual asset, then the asset quality and design consistency are maintained, but the time and computational resources required increase significantly
Solution Approach 1:
The system creates virtual assets by copying and adapting existing assets from a library rather than manually creating each asset from scratch. The asset adaptation module generates new assets by modifying parameters of existing template assets, significantly reducing creation time while maintaining quality through structured copying mechanisms.
Solution Approach 2:
The system performs preliminary actions by pre-defining asset templates, design styles, and parameter configurations before actual asset creation is needed. Designers can set up asset libraries with pre-configured styles and characteristics in advance, enabling rapid asset generation when needed without sacrificing quality.
2Reliability
If designers manually search for and identify suitable virtual assets from other creators, then asset suitability is ensured, but the time and effort required to access and identify assets increase
Solution Approach 1:
The system performs self-service by automatically tagging virtual assets with metadata and characteristics without requiring manual intervention. The tagging module autonomously analyzes asset properties, design styles, and compatibility criteria to generate relevant tags, enabling the system to serve itself in the asset identification process.
Solution Approach 2:
The system implements feedback mechanisms where asset usage data, designer preferences, and compatibility outcomes are fed back into the tagging and recommendation system. This continuous feedback loop improves the accuracy of asset suitability matching over time, making the system progressively better at identifying appropriate assets without additional manual effort.
3Measurement precision
If a comprehensive virtual asset library is maintained with detailed characteristics, then asset selection accuracy is improved, but the complexity of managing and organizing the asset data increases
Solution Approach 1:
The system segments asset characteristics into distinct, manageable categories such as design style, geometric properties, material attributes, and functional characteristics. Each category is tagged independently with specific metadata, allowing the complex asset library to be organized into modular segments that can be efficiently queried and managed without overwhelming complexity.
Data Source
AI summary
A request is received for a virtual asset of a virtual asset data store for inclusion in a virtual scene. The request includes first characteristic data including characteristics associated with the requested virtual asset. One or more virtual assets of the virtual asset data store are associated with tags obtained from an output of an artificial intelligence (AI) model. Tags are obtained for the requested virtual asset based on the first characteristic data and second characteristic data associated with an additional virtual asset of the virtual scene. A determination is made, based on tags for virtual assets of the virtual data store, of whether the virtual asset data store identifies a virtual asset that satisfies criteria with respect to the obtained tags for the requested asset. Upon determining that the criteria are satisfied, the virtual asset is provided for inclusion in the virtual scene in accordance with the request.