MIXTURE OF VOLUMETRIC PRIMITIVES FOR EFFICIENT NEURAL RENDERING

A method for training a real-time, modeling for animating an avatar for a subject is provided. The method includes collecting multiple images of a subject. The method also includes selecting a plurality of vertex positions in a guide mesh, indicative of a volumetric primitive enveloping the subject, determining a geometric attribute for the volumetric primitive including a position, a rotation, and a scale factor of the volumetric primitive, determining a payload attribute for each of the volumetric primitive, the payload attribute including a color value and an opacity value for each voxel in a voxel grid defining the volumetric primitive, determining a loss factor for each point in the volumetric primitive based on the geometric attribute, the payload attribute and a ground truth value, and updating a three-dimensional model for the subject. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.