Search
Now showing items 1-5 of 5
Learned Fitting of Spatially Varying BRDFs
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
The use of spatially varying reflectance models (SVBRDF) is the state of the art in physically based rendering and the ultimate goal is to acquire them from real world samples. Recently several promising deep learning ...
Real-time Image-based Lighting of Microfacet BRDFs with Varying Iridescence
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
Iridescence is a natural phenomenon that is perceived as gradual color changes, depending on the view and illumination direction. Prominent examples are the colors seen in oil films and soap bubbles. Unfortunately, iridescent ...
Flexible SVBRDF Capture with a Multi-Image Deep Network
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
Empowered by deep learning, recent methods for material capture can estimate a spatially-varying reflectance from a single photograph. Such lightweight capture is in stark contrast with the tens or hundreds of pictures ...
On-Site Example-Based Material Appearance Acquisition
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
We present a novel example-based material appearance modeling method suitable for rapid digital content creation. Our method only requires a single HDR photograph of a homogeneous isotropic dielectric exemplar object under ...
Glint Rendering based on a Multiple-Scattering Patch BRDF
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
Rendering materials such as metallic paints, scratched metals and rough plastics requires glint integrators that can capture all micro-specular highlights falling into a pixel footprint, faithfully replicating surface ...