  We reconstruct a controllable model of a person from a large photo collection
that captures his or her {\em persona}, i.e., physical appearance and behavior.
The ability to operate on unstructured photo collections enables modeling a
huge number of people, including celebrities and other well photographed people
without requiring them to be scanned. Moreover, we show the ability to drive or
{\em puppeteer} the captured person B using any other video of a different
person A. In this scenario, B acts out the role of person A, but retains
his/her own personality and character. Our system is based on a novel
combination of 3D face reconstruction, tracking, alignment, and multi-texture
modeling, applied to the puppeteering problem. We demonstrate convincing
results on a large variety of celebrities derived from Internet imagery and
video.
