1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.GR2026
PureLight: Learning Complex Luminaires with Light Tracing
Pedro Figueiredo, Zixuan Li, Beibei Wang +2
We propose a neural formulation for estimating the appearance of complex luminaires. We focus on challenging luminaires with complex light transport (e.g., small emitters enclosed…
cs.GR2025
Neural Path Guiding with Distribution Factorization
Pedro Figueiredo, Qihao He, Nima Khademi Kalantari
In this paper, we present a neural path guiding method to aid with Monte Carlo (MC) integration in rendering. Existing neural methods utilize distribution representations that are…
cs.GR2025★ 1 cited
Neural Importance Sampling of Many Lights
Pedro Figueiredo, Qihao He, Steve Bako +1
We propose a neural approach for estimating spatially varying light selection distributions to improve importance sampling in Monte Carlo rendering, particularly for complex scenes…