AI Virtual Object Image Interpolation With Composition Slider

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Solution Overview

Problem

The challenge in creating virtual objects for computer applications is the vast number of possible variations due to numerous attributes, making it difficult for designers to create images that meet specific visual objectives such as providing visual variety and promoting engagement.

Innovation Solution

A system utilizing AI-based interpolation and composition slider controls to generate intermediate images of virtual objects by interpolating between reference index specifications, allowing users to navigate through these images using a slider bar with adjustable indexes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the number of attributes for virtual objects is increased to provide more visual variety, then the diversity of virtual object images is improved, but the complexity of design and the burden on designers increases

Engineering Contradiction:

Improvevisual varietyVSAvoiddesign complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system enables virtual object images to generate their own intermediate variations automatically through the interpolation engine, eliminating the need for designers to manually create each variation. The AI engine performs the creative work of generating intermediate images based on reference images, making the system self-sufficient in producing visual variety.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The specification interpolation engine acts as an intermediary between reference index specifications and final virtual object images. It automatically generates intermediate index specifications that bridge the gap between reference points, allowing the system to explore the attribute space systematically without requiring direct manual intervention for each intermediate state.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Manufacturing precision

If manual creation of virtual object images is used to ensure visual quality, then the precision of visual objectives is improved, but the productivity and efficiency decrease

Engineering Contradiction:

Improvevisual qualityVSAvoiddesign efficiency

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The system replaces the mechanical process of manual image creation with an AI-based automated system. The AI engine generates virtual object images by processing reference images and interpolated specifications, substituting human manual work with intelligent automation that maintains visual quality while dramatically improving productivity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary actions by generating multiple intermediate index specifications and their corresponding images in advance. This allows designers to preview and select from pre-generated options rather than creating images on-demand, improving both efficiency and the ability to meet visual objectives through systematic exploration of the attribute space.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If AI-based interpolation is used to generate intermediate images, then the productivity is improved, but the complexity of the system increases

Engineering Contradiction:

Improveimage generation efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system segments the complex task of virtual object image generation into distinct functional components: reference image processing, specification interpolation, AI-based image generation, and result composition. This modular architecture manages system complexity by organizing functions into separate, manageable modules that can be developed and maintained independently.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The specification interpolation engine serves multiple functions: it interpolates between reference specifications, generates intermediate index specifications, and provides the basis for AI image generation. This multi-functional component reduces overall system complexity by consolidating several operations into a single versatile module.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12536712B2Systems and associated methods for artificial intelligence (AI)-based generation of image of virtual object

Publication Date: 2026.01.27 SONY INTERACTIVE ENTERTAINMENT LLC

AI summary

An artificial intelligence (AI) engine generates a first image of a virtual object based on a first reference index specification of the virtual object. The AI engine generates a second image of the virtual object based on a second reference index specification of the virtual object. The AI engine generates an intermediate image of the virtual object based on an intermediate index specification of the virtual object that is automatically generated by AI-based interpolation between the first reference index specification of the virtual object and the second reference index specification of the virtual object. A composition slider control is generated that enables navigation from the first image of the virtual object through the intermediate image of the virtual object to the second image of the virtual object. The composition slider control is configured to direct display of a selected AI engine-generated image of the virtual object.