Rendering participating media is important for a number of domains, ranging from
commercial applications (entertainment, virtual reality) to simulation systems (driving, flying …

Research on neural radiance fields (NeRFs) for novel view generation is exploding with new
models and extensions. However, a question that remains unanswered is what happens in …

Abstract Physics-based differentiable rendering---which is concerned with estimating
derivatives of photorealistic rendering with respect to arbitrary scene parameters---has a …

Physics-based differentiable rendering is the task of estimating the derivatives of radiometric
measures with respect to scene parameters. The ability to compute these derivatives is …

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 …

It is a long-standing problem in unbiased Monte Carlo methods for rendering that certain
difficult types of light transport paths, particularly those involving viewing and illumination …

Photorealistic rendering of the virtual world is an important and classic problem in the field of
computer graphics. With the development of GPU hardware and continuous research on …

We investigate the use of neural fields for modelling diverse mesoscale structures, such as
fur, fabric and grass. Instead of using classical graphics primitives to model the structure, we …

This paper presents a new mutation strategy for the Metropolis light transport algorithm,
which works in the unit cube of pseudo‐random numbers instead of mutating in the path …

Physics-based differentiable rendering---which focuses on estimating derivatives of
radiometric detector responses with respect to arbitrary scene parameters---has a diverse …