A method for estimating the errors in many-light rendering with supersampling

Computational Visual Media

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[1] 0000 0001 0710 9816, grid.413170.0, Wakayama University, Wakayama, 640-8510, Wakayama, Japan;0000 0001 0710 9816, grid.413170.0, Wakayama University, Wakayama, 640-8510, Wakayama, Japan;Dwango CG Research, KADOKAWA Hongo Bldg. 5245 Hongo, Bunkyo-ku, 1130033, Tokyo, Japan;

关键词: anti-aliasing;    depth of field;    many-light rendering;    participating media;   

DOI  :  10.1007/s41095-019-0137-0

来源: publisher

【 摘 要 】

In many-light rendering, a variety of visual and illumination effects, including anti-aliasing, depth of field, volumetric scattering, and subsurface scattering, are combined to create a number of virtual point lights (VPLs). This is done in order to simplify computation of the resulting illumination. Naive approaches that sum the direct illumination from many VPLs are computationally expensive; scalable methods can be computed more efficiently by clustering VPLs, and then estimating their sum by sampling a small number of VPLs. Although significant speed-up has been achieved using scalable methods, clustering leads to uncontrollable errors, resulting in noise in the rendered images. In this paper, we propose a method to improve the estimation accuracy of many-light rendering involving such visual and illumination effects. We demonstrate that our method can improve the estimation accuracy by a factor of 2.3 over the previous method.

【 授权许可】

CC BY