Spatial Multiple Importance Sampling for Real-time Irradiance Probes
Chen, Tuo Zhou, Zi-Heng Yan, Lingqi Hu, Shi-Min
Chen, Tuo
Zhou, Zi-Heng
Yan, Lingqi
Hu, Shi-Min
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Computer Science
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Journal article
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English
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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.
Citation
T. Chen, Z.-H. Zhou, L. Yan, S.-M. Hu, "Spatial Multiple Importance Sampling for Real-time Irradiance Probes," IEEE Transactions on Visualization and Computer Graphics, vol. PP, no. 99, pp. 1-13, 2026, https://doi.org/10.1109/tvcg.2026.3669877.
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IEEE Transactions on Visualization and Computer Graphics
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46 Information and Computing Sciences, 4607 Graphics, Augmented Reality and Games
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IEEE