Speaker: Hua Qingqin, PhD student, Saarland University

Date: December 29, 2025

Time: 15:30 pm

Location: Centre for Digital Media 107 Meeting Room; Tencent/VooV Meeting: 878 4339 2112

Sponsor: School of Software, Shandong University

Abstract:

Multiple importance sampling (MIS) is a vital component of most rendering algorithms. MIS computes a weighted sum of samples from many different techniques to achieve generalization. A key factor to the performance of MIS is the choice of weighting function. The go-to default – the balance heuristic – performs well in many cases, but prior work has shown that it can yield unsatisfactory results. Prior work has suggested improvements for some of these problems, but a general optimal solution has yet to be found. We propose a general and practical weight correction scheme: We optimize, on-the-fly, a set of correction factors that are multiplied into any baseline MIS heuristic (e.g., balance or power). We demonstrate that this approach yields consistently better equal-time performance on two rendering applications: bidirectional algorithms and resampled importance sampling for direct illumination.

For more information, please visit:

https://www.view.sdu.edu.cn/info/1020/209442.htm