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

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

We introduce gradient-domain rendering for Monte Carlo image synthesis. While previous
gradient-domain Metropolis Light Transport sought to distribute more samples in areas of …

Scattering from specular surfaces produces complex optical effects that are frequently
encountered in realistic scenes: intricate caustics due to focused reflection, multiple …

Importance sampling is one of the most widely used variance reduction strategies in Monte
Carlo rendering. We propose a novel importance sampling technique that uses a neural …

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Monte Carlo rendering algorithms often utilize correlations between pixels to improve
efficiency and enhance image quality. For real-time applications in particular, repeated …

Rendering radiative transfer through media with a heterogeneous refractive index is
challenging because the continuous refractive index variations result in light traveling along …

Finding good global importance sampling strategies for Monte Carlo light transport is
challenging. While estimators using local methods (such as BSDF sampling or next event …

Effective local light transport guiding demands for high quality guiding information, ie, a
precise representation of the directional incident radiance distribution at every point inside …