Attention-Based Ray Tracing for Dynamic Scene Rendering Speed
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Solution Overview
Problem
Existing 3D graphics technologies face challenges in efficiently rendering dynamic scenes due to high computational demands and the need for high-performance graphics processors, particularly in adapting to user visual attention and adjusting rendering thresholds based on static or dynamic scene frequencies.
Innovation Solution
A visual attention-based ray tracing method and device that adaptively adjusts rendering thresholds by determining hit frequencies of neighboring pixels, selectively rendering candidate pixels, and applying interpolation or ray tracing based on these frequencies to enhance rendering performance and image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If ray tracing technology is used to generate photo-realistic 3D graphics, then image quality and realism are improved, but computational demand and processing time increase significantly
Solution Approach 1:
The patent segments the scene into static and dynamic components, and further divides pixels into sampling pixels and candidate pixels. This segmentation allows the system to apply different rendering strategies to different parts of the scene, performing full ray tracing only where necessary (at sampling pixels and high-priority candidate pixels) while using interpolation for others, thus resolving the contradiction between image quality and rendering speed.
Solution Approach 2:
The patent implements local quality by adaptively adjusting rendering thresholds based on visual attention maps and scene dynamics. Regions with high visual attention or significant dynamic changes receive higher rendering quality through full ray tracing, while less important regions use lower-quality interpolation methods. This local differentiation maintains overall image quality while reducing total computational demand.
2Manufacturing precision
If rendering is performed at high resolution to improve image quality, then detail and realism are enhanced, but computational load and processing time increase
Solution Approach 1:
The patent applies partial action by performing complete ray tracing only at sampling pixels and selectively at candidate pixels based on visual attention and hit frequency thresholds, rather than at all pixels. This partial rendering approach maintains essential image quality while significantly reducing computational load compared to full high-resolution rendering.
Solution Approach 2:
The patent uses interpolation to generate pixel values for non-sampled candidate pixels by copying and extrapolating from neighboring sampling pixels. This copying approach provides sufficient visual quality for regions that do not require full ray tracing, thereby reducing computational load while maintaining acceptable rendering detail.
3Productivity
If selective rendering is used to reduce computational load, then rendering performance improves, but image quality may deteriorate due to interpolation artifacts
Solution Approach 1:
The patent implements dynamics by adaptively adjusting the threshold for selective rendering based on visual attention maps and scene dynamics (hit frequencies). This dynamic adjustment ensures that regions requiring higher quality (high attention areas) receive full ray tracing while less important regions use interpolation, maintaining image quality where it matters most while preserving rendering performance.
Solution Approach 2:
The patent uses feedback from visual attention analysis and ray hit frequency detection to control the selective rendering process. The system continuously monitors which regions require attention and adjusts rendering quality accordingly, ensuring that interpolation artifacts are minimized in visually important areas while maintaining overall rendering performance.
4Manufacturing precision
If the rendering threshold is set low to maintain image quality, then detail is preserved, but processing time and computational resources increase
Solution Approach 1:
The patent applies local quality by setting different effective thresholds for different regions based on visual attention. In high-attention regions, the threshold effectively becomes low (preserving detail), while in low-attention regions, the threshold effectively increases (reducing processing time). This spatially-varying threshold strategy resolves the contradiction between detail preservation and processing time.
Solution Approach 2:
The patent dynamically changes the rendering threshold parameter based on visual attention maps and scene dynamics. Rather than using a fixed low threshold that would increase processing time for all pixels, the system adjusts the threshold parameter locally and dynamically, maintaining detail where needed while reducing processing time in less critical regions.
Data Source
AI summary
A visual attention-based ray tracing method includes: determining whether each sampling pixel hits a primary ray during a process of generating a first image by rending a specific scene at a first resolution; and performing selective rendering repeatedly on candidate pixels existing between the sampling pixels during a process of generating a second image by rendering the first image at a second resolution higher than the first resolution through adaptive adjustment of a threshold due to hit frequencies of neighboring pixels.