Adaptive 3D Asset Rendering for Resource and Time Constraints
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Solution Overview
Problem
Current techniques for rendering complex 3D models are inefficient and resource-intensive, often failing to consider the impact on the electronic device's performance and temporal requirements.
Innovation Solution
A method for conditionally rendering assets based on current performance measurements of the computer system, where assets are rendered as 2D or 3D representations depending on system criteria, including characteristics of the asset and available resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a computer system renders complex 3D models without considering current performance measurements, then the rendering quality and completeness can be maintained, but the resource consumption increases and temporal requirements may not be met
Solution Approach 1:
The system dynamically adjusts rendering parameters based on current performance measurements. The rendering process transitions from static fixed-parameter rendering to dynamic adaptive rendering where complexity levels, resolution, and other parameters are modified in real-time according to system state, resolving the contradiction between maintaining rendering completion and reducing resource consumption
Solution Approach 2:
The patent changes rendering parameters such as model complexity, resolution, and detail levels based on performance measurements. By modifying these parameters dynamically, the system ensures rendering completion while adapting resource consumption to current system capabilities, directly addressing the technical contradiction
2Manufacturing precision
If a computer system renders complex 3D models with high detail, then the visual quality is improved, but the rendering time increases and may not meet temporal requirements
Solution Approach 1:
The system applies partial rendering detail based on requirements - rendering high detail only where and when needed, and using lower detail elsewhere or when time is constrained. This selective approach maintains visual quality where necessary while reducing overall rendering time to meet temporal requirements
Solution Approach 2:
The rendering system dynamically adjusts visual quality parameters based on time constraints and performance measurements, transitioning between high-quality and optimized rendering modes to balance visual quality against rendering time
3Reliability
If a computer system attempts to render all requested assets regardless of performance, then the completeness of content delivery is improved, but the system stability and user experience deteriorate due to resource exhaustion
Solution Approach 1:
The system implements feedback loops where performance measurements are continuously monitored and used to adjust rendering decisions. This feedback mechanism prevents resource exhaustion by adapting content delivery to current system state, maintaining both completeness and stability
Solution Approach 2:
The rendering system dynamically responds to system state changes, adjusting which assets are rendered and at what quality levels. This dynamic adaptation ensures complete content delivery when possible while maintaining system stability through performance-aware rendering decisions
4Speed
If a computer system renders 3D models in real-time without performance checks, then the responsiveness is improved, but the resource consumption and energy usage increase
Solution Approach 1:
The system changes rendering parameters such as complexity level, resolution, and detail based on performance measurements, enabling real-time responsiveness while adapting energy consumption to current system capabilities through parameter adjustment
Data Source
AI summary
Some techniques are described herein for conditionally rendering assets. In some examples, such techniques include a computer system receiving a request to render an asset and, in response, measuring performance of the computer system to determine whether to initiate rendering of the asset. For example, the computer system can measure the performance by rendering another asset that is less complex and/or resource intensive as the asset so to estimate a result of rendering the asset. Other techniques are described herein for rendering assets in different manners. In some examples such techniques include a computer system receiving a request to render an asset and, in response, rendering the asset in different manners depending on one or more aspects of the file and one or more current performance measurements of the computer system. Other techniques are described herein for rendering a 3D model based on current performance measurements of a computer system.