Patent attributes
In one embodiment, a computing system may access a plurality of first captured images that are captured in a first spectral domain, generate, using a first machine-learning model, a plurality of first domain-transferred images based on the first captured images, wherein the first domain-transferred images are in a second spectral domain, render, based on a first avatar, a plurality of first rendered images comprising views of the first avatar, and update the first machine-learning model based on comparisons between the first domain-transferred images and the first rendered images, wherein the first machine-learning model is configured to translate images in the first spectral domain to the second spectral domain. The system may also generate, using a second machine-learning model, the first avatar based on the first captured images. The first avatar may be rendered using a parametric face model based on a plurality of avatar parameters.