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 …

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 …

With the prevalence of embedded GPUs on mobile devices, power-efficient rendering has
become a widespread concern for graphics applications. Reducing the power consumption …

Importance sampling using a light tree (ie, a hierarchy of light clusters) has been widely
used for many-light rendering. This technique samples a light source by stochastically …

This paper proposes a new hybrid algorithm for sampling virtual point light (VPL). The
indirect lighting calculation of the scene is used to distribute the VPL reasonably. In the …

arxiv:2202.00855v3 [cs.GR] 8 Feb 2022 Page 1 arxiv:2202.00855v3 [cs.GR] 8 Feb 2022
Extension: Adaptive Monte Carlo Sampling with Implicit Radiance Field Yuchi Huo 1. Adaptive …

Object oriented bounding box tree (OBB-Tree for short) has many applications in collision
detection, real-time rendering, etc. It has a wide range of applications. The construction of …

Image pixel aliasing caused by insufficient sampling is a long-standing problem in the field
of computer graphics. It has always been the goal of researchers to seek anti-aliasing …

Taking a 360◦ image is the quickest and most cost-effective way to capture the entire
environment around the viewer in a form that can be directly exploited for creating immersive …

In some entertainment and virtual reality applications, it is necessary to model and draw the
real world realistically, so as to improve the fidelity of natural scenes and make users have a …