Efficiently rendering direct lighting from millions of dynamic light sources using Monte Carlo
integration remains a challenging problem, even for off-line rendering systems. We …

Thoroughly revised, this third edition focuses on modern techniques used to generate
synthetic three-dimensional images in a fraction of a second. With the advent of …

We introduce a reconstruction algorithm that generates a temporally stable sequence of
images from one path-per-pixel global illumination. To handle such noisy input, we use …

Denoising has proven to be useful to efficiently generate high-quality Monte Carlo
renderings. Traditional pixel-based denoisers exploit summary statistics of a pixel's sample …

Temporal Antialiasing (TAA), formally defined as temporally‐amortized supersampling, is
the most widely used antialiasing technique in today's real‐time renderers and game …

High-quality denoising of Monte Carlo low-sample renderings remains a critical challenge
for practical interactive ray tracing. We present a new learning-based denoiser that achieves …

With the push towards physically based rendering, stochastic sampling of shading, eg using
path tracing, is becoming increasingly important in real-time rendering. To achieve high …

Abstract Real‐time Monte Carlo denoising aims at removing severe noise under low
samples per pixel (spp) in a strict time budget. Recently, kernel‐prediction methods use a …

Both the frame rate and the latency are crucial to the performance of realtime rendering
applications such as video games. Spatial supersampling methods, such as the Deep …

Rendering an accurate image of an isosurface in a volumetric field typically requires large
numbers of data samples. Reducing this number lies at the core of research in volume …