Decomposing a scene into its shape, reflectance, and illumination is a challenging but
important problem in computer vision and graphics. This problem is inherently more …

Decomposing a scene into its shape, reflectance and illumination is a fundamental problem
in computer vision and graphics. Neural approaches such as NeRF have achieved …

Inverse rendering of an object under entirely unknown capture conditions is a fundamental
challenge in computer vision and graphics. Neural approaches such as NeRF have …

I present a data-driven model for isotropic bidirectional reflectance distribution functions
(BRDFs) based on acquired reflectance data. Instead of using analytic reflectance models …

Recovering the physical attributes of an object's appearance from its images captured under
an unknown illumination is challenging yet essential for photo-realistic rendering. Recent …

Capturing spatially-varying bidirectional reflectance distribution functions (SVBRDFs) of 3D
objects with just a single, hand-held camera (such as an off-the-shelf smartphone or a DSLR …

Interpolation between pairs of values, typically vectors, is a fundamental operation in many
computer graphics applications. In some cases simple linear interpolation yields meaningful …

We consider the challenging problem of predicting intrinsic object properties from a single
image by exploiting differentiable renderers. Many previous learning-based approaches for …

Three‐dimensional (3D) image acquisition systems are rapidly becoming more affordable,
especially systems based on commodity electronic cameras. At the same time, personal …

A surface light field is a function that assigns a color to each ray originating on a surface.
Surface light fields are well suited to constructing virtual images of shiny objects under …