  We present a new method to reconstruct and manipulate the spectral properties
of human skin from simple RGB albedo captures. To this end, we leverage Monte
Carlo light simulation over an accurate biophysical human skin layering model
parameterized by its most important components, thereby covering a plausible
range of colors. The practical complexity of the model allows us to learn the
inverse mapping from any albedo to its most probable associated skin
properties. Our technique can faithfully reproduce any skin type, being
expressive enough to automatically handle more challenging areas like the lips
or imperfections in the face. Thanks to the smoothness of the skin parameters
maps recovered, the albedo can be robustly edited through meaningful
biophysical properties.
