Virtual Asset Rendering Using AI Articulation Data

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Solution Overview

Problem

Conventional models struggle to simulate changes in the behavior or condition of virtual environment objects outside their context, requiring significant computing resources and time for designers to create and animate complex virtual assets, leading to increased system latency and reduced efficiency.

Innovation Solution

Utilizing articulation data predicted by AI models to update model files for virtual assets, enabling efficient rendering and animation of objects without extensive computing resources, by incorporating positional and motional relationships between object components based on physical characteristics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional models are used to simulate changes in virtual environment objects, then simulation accuracy is maintained, but computing resources and time consumption increase significantly

Engineering Contradiction:

Improvesimulation accuracyVSAvoidtime consumption

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system pre-computes articulation data indicating positional and motional relationships between object components and stores it in a database. This preliminary action allows the rendering system to quickly retrieve and apply pre-computed articulation data during animation creation, avoiding time-consuming real-time simulations while maintaining accuracy.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates simplified copies of complex physical simulation data in the form of articulation data. Instead of performing full physics simulations during rendering, the system uses pre-computed articulation data that captures essential positional and motional relationships, significantly reducing computing resource requirements while preserving simulation fidelity.

Inventive Principle:

Principle #26Copying

2Manufacturing precision

If designers manually create and animate each virtual asset, then animation precision is achieved, but productivity decreases

Engineering Contradiction:

Improveanimation precisionVSAvoiddesign efficiency

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The system enables designers to create animations by simply selecting objects and desired states without manual animation creation. The articulation data automatically provides positional and motional relationships between components, allowing the system to self-generate accurate animations based on object selection and physical characteristics, eliminating time-consuming manual animation processes.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The articulation data acts as an intermediary between object selection and animation generation. Instead of requiring designers to manually create animations, the system uses pre-computed articulation data to automatically generate precise animations, bridging the gap between simple object selection and high-quality animation output.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Illumination intensity

If complex virtual assets with multiple components are rendered, then visual quality is improved, but system latency increases

Engineering Contradiction:

Improvevisual qualityVSAvoidsystem latency

Core Design Contradiction:

Illumination intensityVSSpeed

Solution Approach 1:

The system pre-computes articulation data for complex virtual assets including positional and motional relationships between multiple components. This preliminary computation allows the rendering system to quickly retrieve and apply articulation data during visualization, maintaining high visual quality for complex assets while significantly reducing system latency.

Inventive Principle:

Principle #10Preliminary action

4Manufacturing precision

If extensive computing resources are allocated for virtual asset creation, then animation quality is improved, but resource efficiency decreases

Engineering Contradiction:

Improveanimation qualityVSAvoidcomputing resource efficiency

Core Design Contradiction:

Manufacturing precisionVSLoss of energy

Solution Approach 1:

The system creates compact articulation data copies that capture essential positional and motional relationships between object components. These compressed representations allow high-quality animation generation with minimal computing resources, eliminating the need for extensive real-time simulations while maintaining animation fidelity.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20250371784A1Methods and systems for virtual asset rendering based on articulation data

Publication Date: 2025.12.04 NVIDIA CORP

AI summary

Apparatuses, systems, and techniques for virtual asset rendering based on articulation data are provided. Characteristic data indicating physical characteristic(s) of an object is collected and provided as input to an artificial intelligence (AI) model. One or more outputs of the IA model are obtained, which includes articulation data indicating a stationary state and/or a dynamic state of the object based on the physical characteristic(s) of the object. A model file associated with a virtual asset corresponding to the object is updated based on the articulation data. the model file, when executed, creates a rendering of the virtual asset in a virtual scene associated with a three-dimensional (3D) graphics platform according to at least one of the stationary state or the dynamic state of the object.