Avatar-Based Virtual Space Generation for Metaverse Personalization
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Solution Overview
Problem
Existing technologies require users to manually select from pre-created virtual space themes or rely on engineers to create new virtual spaces, limiting flexibility and user customization in virtual worlds.
Innovation Solution
An electronic apparatus equipped with a communication interface, memory, and processor that utilizes a trained neural network model to automatically generate a virtual space image based on avatar information from multiple users, identifying items and generating a matching virtual space image using a Generative Adversarial Network (GAN) model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually select from pre-created virtual space themes or engineers create new virtual spaces, then virtual space customization is possible, but user flexibility and ease of operation deteriorate
Solution Approach 1:
The system automatically generates virtual space images by analyzing avatar information and inputting it to a trained neural network model, eliminating the need for users to manually select themes or for engineers to create custom spaces. The system serves itself by autonomously creating personalized virtual spaces based on user preferences embedded in avatar data.
Solution Approach 2:
The patent replaces the manual mechanical process of theme selection and engineering creation with an automated neural network-based system. The trained neural network model processes avatar information and generates virtual space images automatically, substituting human interaction with an intelligent automated system.
2Adaptability or versatility
If engineers/programmers/designers create new virtual spaces to meet user requests, then virtual space diversity improves, but device complexity and productivity worsen
Solution Approach 1:
The system autonomously creates diverse virtual spaces by processing different avatar information through the neural network model, eliminating the need for engineers to manually create each space. The system serves itself by generating unlimited virtual space variations based on user input data.
Solution Approach 2:
The neural network model generates different virtual space images by processing varying avatar information parameters, creating diversity through parameter variation rather than manual design. Each unique combination of avatar features produces customized virtual space outcomes.
3Manufacturing precision
If engineers create custom virtual spaces for each user request, then manufacturing precision improves, but loss of time and productivity worsen
Solution Approach 1:
The system performs preliminary processing by analyzing avatar information and automatically generating virtual space images through the trained neural network model before user deployment. This pre-computation eliminates the time-consuming manual creation process while maintaining customization accuracy.
Solution Approach 2:
The patent replaces the time-intensive manual engineering process with automated neural network processing, substituting human design time with rapid computational generation while preserving customization precision through intelligent algorithmic processing.
Data Source
AI summary
A method of an electronic apparatus, includes: receiving, from a first user terminal, first avatar information corresponding to a first user and receive, from a second user terminal, second avatar information corresponding to a second user; identifying at least one first information of the first avatar information and at least one second information included in the second avatar information; identifying a first item based on the identified first information of the first avatar information; identifying a second item based on the identified second information of the second avatar information; obtaining a virtual space image in a metaverse by inputting the feature information corresponding to the identified first item and the identified second item to a trained neural network model; and transmitting the obtained virtual space image to the first user terminal and the second user terminal.