Deferred Coarse Pixel Shading via Depth Analysis
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Solution Overview
Problem
Deferred shading techniques face inefficiencies when visibility rates differ from shading rates, particularly in multi-sampled anti-aliasing and coarse pixel shading, as they require shading at full visibility rates, leading to unnecessary computations and resource wastage.
Innovation Solution
The proposed solution involves analyzing screen regions to classify them as sample, pixel, or coarse pixel and reducing the shading rate accordingly, using techniques such as analyzing view space depth and normal changes within a pixel or region to determine if shading can be done at lower rates, and leveraging hardware acceleration for efficient computation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If shading is performed at full visibility rate, then shading completeness is ensured, but computational efficiency deteriorates
Solution Approach 1:
The patent applies local quality by differentiating shading rates across different screen regions. Instead of uniform full-rate shading, the system analyzes depth and normal variations locally to determine whether coarse pixel shading (lower rate) or full sample shading (higher rate) is appropriate for each region, optimizing the balance between completeness and efficiency.
Solution Approach 2:
The patent implements dynamics by making the shading rate adaptive rather than fixed. The system dynamically adjusts between coarse pixel shading and full sample shading based on real-time analysis of depth and normal changes within pixels, allowing the shading rate to vary according to scene complexity and geometric characteristics.
2Productivity
If shading is performed at coarse pixel rate, then computational efficiency improves, but shading accuracy deteriorates
Solution Approach 1:
The system applies local quality by assessing the specific characteristics of each screen region (depth variation, normal changes) to determine the appropriate shading rate. In regions with smooth geometry, coarse pixel shading provides sufficient accuracy, while regions with high variation require full sample shading to maintain precision.
Solution Approach 2:
The patent employs feedback mechanisms by analyzing depth and normal derivatives to determine whether a pixel should be shaded at coarse rate or full rate. This feedback loop ensures that shading accuracy is maintained where needed while efficiency is optimized where possible.
3Device complexity
If uniform shading rate is applied, then implementation simplicity is maintained, but resource utilization deteriorates
Solution Approach 1:
The patent applies local quality by differentiating shading rates across different screen regions. Instead of uniform full-rate shading, the system analyzes depth and normal variations locally to determine whether coarse pixel shading (lower rate) or full sample shading (higher rate) is appropriate for each region, optimizing the balance between completeness and efficiency.
Solution Approach 2:
The patent implements dynamics by making the shading rate adaptive rather than fixed. The system dynamically adjusts between coarse pixel shading and full sample shading based on real-time analysis of depth and normal changes within pixels, allowing the shading rate to vary according to scene complexity and geometric characteristics.
Data Source
AI summary
A shading rate may be set by analyzing samples within a pixel. Then based on that analysis, a system determines whether to use coarse pixel, pixel or sample shading for a region of pixels. Based on the determined type of shading, the shading rate may be set.