Neural rendering is a new image and video generation method based on deep learning. It
combines the deep learning model with the physical knowledge of computer graphics, to …

Monte Carlo (MC) integration is used ubiquitously in realistic image synthesis because of its
flexibility and generality. However, the integration has to balance estimator bias and …

Despite recent advances in Monte Carlo path tracing at interactive rates, denoised image
sequences generated with few samples per‐pixel often yield temporally unstable results and …

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 …

Monte Carlo (MC) path tracing is a popular realistic rendering technique widely used in
computer animation, film production, video games, etc. Compared with other rendering …

Recent advances in ray tracing hardware bring real-time path tracing into reach, and ray
traced soft shadows, glossy reflections, and diffuse global illumination are now common …

Volume data is found in many important scientific and engineering applications. Rendering
this data for visualization at high quality and interactive rates for demanding applications …

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 …

Real-time denoising for Monte Carlo rendering remains a critical challenge with regard to
the demanding requirements of both high fidelity and low computation time. In this paper, we …

Monte Carlo (MC) simulation is considered the gold standard method for radiotherapy dose
calculation. However, achieving high precision requires a large number of simulation …