The wide adoption of path‐tracing algorithms in high‐end realistic rendering has stimulated
many diverse research initiatives. In this paper we present a coherent survey of methods that …

Partial differential equations (PDEs) with spatially varying coefficients arise throughout
science and engineering, modeling rich heterogeneous material behavior. Yet conventional …

We present a technique for efficiently synthesizing images of atmospheric clouds using a
combination of Monte Carlo integration and neural networks. The intricacies of Lorenz-Mie …

Numerically solving partial differential equations (PDEs) is central to many applications in
computer graphics and scientific modeling. Conventional methods for solving PDEs often …

We present Multi-feature Radiance-Predicting Neural Networks (MRPNN), a practical
framework with a lightweight feature fusion neural network for rendering high-order …

We propose a physics-based combustion simulation method for computer graphics that
extends the mathematical models of previous efforts to automatically capture more realistic …

Direct volume rendering (DVR) using volumetric path tracing (VPT) is a scientific
visualization technique that simulates light transport with objects' matter using physically …

Monte‐Carlo path tracing techniques can generate stunning visualizations of medical
volumetric data. In a clinical context, such renderings turned out to be valuable for …

Modeling, simulation, and realistic rendering of natural phenomena have been important
goals in computer graphics for decades. Clouds, as a natural phenomenon, represent a real …

Depth perception in volumetric visualization plays a crucial role in the understanding and
interpretation of volumetric data. Numerous visualization techniques, many of which rely on …