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March 6, 2026IEEE Transactions on Visualization and Computer Graphics0 citations

Spatial Multiple Importance Sampling for Real-time Irradiance Probes

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TCTuo ChenZZZi-Heng ZhouLYLingqi Yan

Key Points

  • To address the challenge of low variance in real-time global illumination by reducing flicker in rendered images.
  • Propose spatial multiple importance sampling to reuse ray-surface intersection data.
  • Incorporate a probe selection mechanism to enhance data reuse efficiency.
  • Implement a visibility estimation method to reduce bias.
  • Significant reduction in variance at a fixed ray tracing cost.
  • Deliver stable and high-quality outputs in real-time situations.

Abstract

Real-time global illumination rendered with low variance remains a persistent challenge. Many engines employ irradiance probes as a relatively cheap technique, but constrained computational budgets often lead to flickering artifacts in rendered images. In this paper, we propose spatial multiple importance sampling, which reuses ray-surface intersection data among real-time irradiance probes to significantly reduce flicker caused by variance, enabling efficient computation in complex scenes under limited ray tracing budgets. Moreover, our approach incorporates a probe selection mechanism to enhance reuse efficiency and a visibility estimation method to mitigate bias. Experimental results demonstrate that our method significantly reduces variance at a fixed ray tracing cost, delivering high-quality, stable outputs in real-time scenarios.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69aa6ee2531e4c4a9ff59100https://doi.org/10.1109/tvcg.2026.3669877
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