Novel-view synthesis of specular objects like shiny metals or glossy paints remains a
significant challenge. Not only the glossy appearance but also global illumination effects …

High-fidelity 3D assets with materials composed of fibers (including hair), complex layered
material shaders, or fine scattering geometry are critical in high-end realistic rendering …

Neural reflectance models are capable of reproducing the spatially‐varying appearance of
many real‐world materials at different scales. Unfortunately, existing techniques such as …

Environment maps are commonly used to represent and compute far‐field illumination in
virtual scenes. However, they are expensive to evaluate and sample from, limiting their …

We introduce differentiable indirection–a novel learned primitive that employs differentiable
multi-scale lookup tables as an effective substitute for traditional compute and data …

Monte Carlo rendering of translucent objects with heterogeneous scattering properties is
often expensive both in terms of memory and computation. If the scattering properties are …

Synthesising high‐quality views of dynamic scenes via path tracing is prohibitively
expensive. Although caching offline‐quality global illumination in neural networks alleviates …

The complex, glinty appearance of detailed normal‐mapped surfaces at different scales
requires expensive per‐pixel Normal Distribution Function computations. Moreover, large …

Neural materials typically consist of a collection of neural features along with a decoder
network. The main challenge in integrating such models in real‐time rendering pipelines lies …

Densely captured real-world materials require effective compression for rendering, material
generation and reconstruction. Neural networks with high compression rates and the ability …