Adaptive 3D Splat Density for View-Driven Rendering Efficiency
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Solution Overview
Problem
Existing 3D models require significant compute power for generation, large bandwidth for distribution, and substantial rendering resources due to uniform high-quality splat representations across all regions, which is inefficient for streaming and rendering.
Innovation Solution
Adaptive density control adjusts splat density and quality based on user viewing patterns, increasing density in frequently viewed regions and reducing it in less viewed areas, optimizing compute power and bandwidth usage while maintaining visual quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If uniform high-quality splat representations are generated across all regions of the 3D model, then visual quality is maintained, but compute power consumption increases significantly
Solution Approach 1:
The patent applies local quality by generating splat representations with different densities and qualities in different regions of the 3D model. Frequently viewed regions receive high-quality splat representations, while less viewed regions use lower-quality representations, thereby reducing overall compute power consumption while maintaining visual quality where needed.
Solution Approach 2:
The patent implements dynamics by making the splat representation quality adaptive based on user viewing patterns. The system dynamically adjusts the density and quality of splats in different regions according to real-time viewing behavior, allowing the system to allocate compute resources dynamically rather than uniformly.
2Manufacturing precision
If uniform high-quality splat representations are generated across all regions, then visual quality is maintained, but bandwidth requirements increase significantly
Solution Approach 1:
The patent reduces bandwidth consumption by transmitting only high-quality splat representations for frequently viewed regions while using lower-quality representations for less viewed regions. This local differentiation of quality allows the system to maintain visual quality where necessary while significantly reducing overall data transmission requirements.
3Manufacturing precision
If high splat density is used across all regions, then rendering quality is improved, but rendering resources and processing time increase
Solution Approach 1:
The patent improves rendering efficiency by applying high splat density only to frequently viewed regions while using lower density in less viewed regions. This localized approach maintains rendering quality for important visual elements while reducing overall processing time and resource consumption.
Solution Approach 2:
The patent implements dynamic splat density adjustment based on user viewing patterns. The system continuously adapts the splat density in different regions according to real-time viewing behavior, ensuring optimal rendering quality for currently viewed regions while minimizing processing resources for background or rarely viewed areas.
Data Source
AI summary
A splat generation system and associated methods implement splatting with adaptive density control to generate a splat representation of a three-dimensional (3D) model in which the splat density and quality in regions of the 3D model that are prioritized based on creator intent or that are commonly or consistently in a user’s field-of-view are increased relative to the splat density and quality in other regions of the 3D model. The system receives the different priorities associated with different parts of the 3D model based on the creator intent or tracked view paths. The system generates a first set of splats that represent the 3D model with a first fidelity, and generates a second set of splats at a greater second fidelity for a first subset of parts of the 3D model that have a higher priority than a second subset of parts of the 3D model.