As scenes become ever more complex and real-time applications embrace ray tracing, path
sampling algorithms that maximize quality at low sample counts become vital. Recent …

Recently, great progress has been made in physics-based differentiable rendering. Existing
differentiable rendering techniques typically focus on static scenes, but during inverse …

Monte Carlo rendering algorithms often utilize correlations between pixels to improve
efficiency and enhance image quality. For real-time applications in particular, repeated …

Recent advancements in spatiotemporal reservoir resampling (ReSTIR) leverage sample
reuse from neighbors to efficiently evaluate the path integral. Like rasterization, ReSTIR …

In recent years, reservoir-based spatiotemporal importance resampling (ReSTIR) algorithms
appeared out of nowhere to take parts of the realtime rendering community by storm, with …

In real-time rendering, spatiotemporal reservoir resampling (ReSTIR) is a powerful
technique to increase the number of candidate samples for resampled importance sampling …

This paper proposes a hybrid radiance field representation for unbounded immersive light
field reconstruction which supports high-quality rendering and aggressive view …

Resampling is the process of selecting from a set of candidate samples to achieve a
distribution (approximately) proportional to a desired target. Recent work has revisited its …

Subsurface scattering is an important visual cue and in real-time rendering it is often
approximated using screen-space algorithms. Path tracing with the diffusion approximation …

Reservoir sampling is becoming an essential component of realtime rendering as it enables
importance resampling with limited storage. Chao's weighted random sampling algorithm is …