Error Estimation for Many-light Rendering with Supersampling
| Hirokazu Sakai |
Kosuke Nabata |
Shinya Yasuaki |
Kei Iwasaki |
| Wakayama University |
Wakayama University |
Wakayama University |
Wakayama University |
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Dwango CG Research |
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Abstract:
Many-light rendering unifies the computation of various visual
and illumination effects, which include anti-aliasing, depth of field,
volumetric scattering, and subsurface scattering, into a simple direct
illumination computation from many virtual point lights (VPLs).
As a naive approach that sums the direct illumination from a large
number of VPLs is computationally expensive, scalable methods
cluster VPLs and estimate the sum by sampling a small number of
VPLs for efficient computation. Although scalable methods have
achieved significant speed-ups, they cannot control the error owing
to clustering, resulting in noise in the rendered images. In this
paper, we propose a method to improve the estimation accuracy for
many-light rendering of such visual and illumination effects. We
demonstrate that our method can improve the estimation accuracy
for various visual and illumination effects up to 2.3 times compared
with the previous method.
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