Systems and methods for physically-based neural face shader via volumetric lightmaps

Abstract

Methods and systems are provided for rendering photo-realistic images of a subject or an object using a differentiable neural network for predicting indirect light behavior. In one example, the differentiable neural network outputs a volumetric light map comprising a plurality of spherical harmonic representations. Further, using a reflectance neural network, roughness and scattering coefficients associated with the subject or the object is computed. The volumetric light map, as well as the roughness and scattering coefficients are the utilized for rendering a final image under one or more of a desired lighting condition, desired camera view angle, and/or with a desired visual effect (e.g., expression change).