  Many historical people are captured only in old, faded, black and white
photos, that have been distorted by the limitations of early cameras and the
passage of time. This paper simulates traveling back in time with a modern
camera to rephotograph famous subjects. Unlike conventional image restoration
filters which apply independent operations like denoising, colorization, and
superresolution, we leverage the StyleGAN2 framework to project old photos into
the space of modern high-resolution photos, achieving all of these effects in a
unified framework. A unique challenge with this approach is capturing the
identity and pose of the photo's subject and not the many artifacts in
low-quality antique photos. Our comparisons to current state-of-the-art
restoration filters show significant improvements and compelling results for a
variety of important historical people.
