Cluster-Based Ray Tracing With Adaptive Tessellation

Solution Overview

Problem

Conventional ray tracing techniques struggle to efficiently render complex scenes in real-time due to high computational demands, particularly when dealing with microgeometries, leading to prolonged rendering times and resource inefficiencies.

Innovation Solution

The system employs varying tessellation factors based on surface classifications, such as proximity to the camera, visibility, and field of view, to optimize the rendering process by increasing detail on critical surfaces and reducing computational requirements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If conventional ray tracing techniques are used to render complex scenes, then photorealism and rendering quality are improved, but computational resources and rendering time increase significantly

Engineering Contradiction:

Improverendering qualityVSAvoidcomputational resources

Core Design Contradiction:

Manufacturing precisionVSUse of energy by moving object

Solution Approach 1:

The patent applies different tessellation factors to different surfaces based on their importance to the camera view. Critical surfaces (those closer to the camera or within the field of view) receive higher tessellation factors for finer detail, while less critical surfaces use lower factors. This local differentiation maintains rendering quality where needed while reducing computational resources overall.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent applies tessellation selectively rather than uniformly to all surfaces. By applying higher tessellation only to partial portions of the scene that are most visible and important, the system achieves sufficient rendering quality without the excessive computational cost of full-resolution tessellation across the entire scene.

Inventive Principle:

Principle #16Partial or excessive action

2Manufacturing precision

If conventional ray tracing techniques are used to render complex scenes, then photorealism and rendering quality are improved, but rendering time increases significantly

Engineering Contradiction:

Improverendering qualityVSAvoidrendering time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent applies different tessellation factors to different surfaces based on their importance to the camera view. Critical surfaces (those closer to the camera or within the field of view) receive higher tessellation factors for finer detail, while less critical surfaces use lower factors. This local differentiation maintains rendering quality where needed while reducing computational resources overall.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent applies tessellation selectively rather than uniformly to all surfaces. By applying higher tessellation only to partial portions of the scene that are most visible and important, the system achieves sufficient rendering quality without the excessive computational cost of full-resolution tessellation across the entire scene.

Inventive Principle:

Principle #16Partial or excessive action

3Stability of the object's composition

If uniform tessellation is applied to all surfaces, then rendering consistency is maintained, but computational efficiency decreases

Engineering Contradiction:

Improverendering consistencyVSAvoidcomputational efficiency

Core Design Contradiction:

Stability of the object's compositionVSProductivity

Solution Approach 1:

The patent applies different tessellation factors to different surfaces based on their importance to the camera view. Critical surfaces (those closer to the camera or within the field of view) receive higher tessellation factors for finer detail, while less critical surfaces use lower factors. This local differentiation maintains rendering quality where needed while reducing computational resources overall.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent dynamically adjusts tessellation factors based on surface properties such as distance from the camera and visibility. This dynamic adaptation allows the system to optimize computational efficiency by applying higher tessellation only where necessary, rather than using a static uniform approach.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20260057602A1Optimizing ray tracing in image rendering using cluster-based acceleration

Publication Date: 2026.02.26 NVIDIA CORP

AI summary

In various examples, systems and methods are disclosed that relate to the generation of images of cluster-based structures. For example, a system can obtain a depth buffer for a scene based at least on the performance of one or more ray tracing operations. The system can then determine an update to a position of a camera involved in performing the ray tracing operations and reproject the points represented by the depth buffer to generate an updated depth buffer. In examples, the system can then update at least one object of the plurality of objects based at least on a hierarchical depth buffer associated with the updated depth buffer and one or more tessellation rates.