Solar design can take many different forms across disciplines with different methodologies
and goals, ranging from acquiring architectural visual effects to assessing illumination for …

Gradient-based methods are becoming increasingly important for computer graphics,
machine learning, and computer vision. The ability to compute gradients is crucial to …

The behavior of daylight inside built settings, though complex, is well understood; and over
past years, designers and researchers investigated different tools and methodologies to …

Imaging objects outside a camera's direct line of sight has important applications in robotic
vision, remote sensing, and many other domains. Time-of-flight-based non-line-of-sight …

We present a novel theory of Fermat paths of light between a known visible scene and an
unknown object not in the line of sight of a transient camera. These light paths either obey …

Differentiable physically-based rendering has become an indispensable tool for solving
inverse problems involving light. Most applications in this area jointly optimize a large set of …

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

Differentiable rendering computes derivatives of the light transport equation with respect to
arbitrary 3D scene parameters, and enables various applications in inverse rendering and …

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 …

Physically based differentiable rendering algorithms propagate derivatives through realistic
light transport simulations and have applications in diverse areas including inverse …