AI-Powered 2D UI Conversion for 3D XR Space

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Solution Overview

Problem

Converting 2D user interface (UI) features to 3D UI features for extended reality (XR) environments is time-consuming and requires specialized knowledge, often resulting in stretched or lacking depth, and existing conversion methods fail to maintain functionality and aesthetics.

Innovation Solution

Utilizing artificial intelligence (AI)-powered techniques to analyze 2D UI features, determine spatial coordinates, and render them in 3D XR space, incorporating depth values, dynamic effects, and user interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual conversion of 2D UI features to 3D UI features is performed, then customization and depth can be achieved, but the process becomes time-consuming and requires specialized knowledge

Engineering Contradiction:

Improveconversion qualityVSAvoidconversion time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical conversion processes with an automated AI-based system. The system uses machine learning models to automatically analyze 2D UI feature designs, determine spatial coordinates, and generate 3D UI features, eliminating the need for specialized manual 3D modeling while maintaining conversion quality

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The conversion system performs self-service by automatically processing 2D UI designs without requiring expert intervention. The AI model independently analyzes design elements, infers spatial relationships, and generates 3D representations, making the conversion process autonomous and eliminating dependency on specialized knowledge

Inventive Principle:

Principle #25Self-service

2Productivity

If existing conversion methods are used, then 3D UI features can be generated, but functionality and aesthetics are not maintained

Engineering Contradiction:

Improveconversion capabilityVSAvoidfunctionality maintenance

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system incorporates feedback mechanisms where the AI model analyzes the original 2D UI feature design, generates 3D representations, and iteratively refines the output to maintain both functionality and aesthetics. The model learns from the relationship between 2D designs and their corresponding 3D implementations, ensuring faithful reproduction of intended behavior and appearance

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary analysis of 2D UI feature designs before conversion, identifying functional elements and aesthetic properties that must be preserved. By pre-processing the design data and establishing conversion rules based on design hierarchy and element relationships, the system ensures that functionality and aesthetics are maintained throughout the conversion process

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250285367A1Ai-powered techniques for automatically converting 2d UI features to 3D UI features for XR space

Publication Date: 2025.09.11 SAMSUNG ELECTRONICS CO LTD

AI summary

A method for automatically converting a two-dimensional (2D) user interface (UI) feature to a three-dimensional (3D) UI feature suitable for an extended reality (XR) environment includes obtaining a design for the 2D UI feature. The method also includes analyzing elements of the design for the 2D UI feature. The method further includes determining spatial coordinates in a 3D XR space corresponding to each element of the design for the 2D UI feature. In addition, the method includes rendering elements for the 3D UI feature at the determined spatial coordinates to form the 3D UI feature.