Adaptive Dynamic Global Illumination

TL;DR

This paper introduces an adaptive probe-based global illumination method that efficiently handles dynamic scene changes and scales to a higher number of probes, improving update robustness and responsiveness.

Contribution

It presents an adaptive sampling strategy for probe placement that enhances dynamic response and allows for increased probe counts without performance loss.

Findings

Robustly updates irradiance and visibility caches in dynamic scenes.

Enables an order of magnitude increase in probe count.

Improves upon previous diffuse global illumination methods.

Abstract

We present an adaptive extension of probe based global illumination solution that enhances the response to dynamic changes in the scene while while also enabling an order of magnitude increase in probe count. Our adaptive sampling strategy carefully places samples in regions where we detect time varying changes in radiosity either due to a change in lighting, geometry or both. Even with large number of probes, our technique robustly updates the irradiance and visibility cache to reflect the most up to date changes without stalling the overall algorithm. Our bandwidth aware approach is largely an improvement over the original \textit{Dynamic Diffuse Global Illumination} while also remaining orthogonal to the recent advancements in the technique.