  We consider the task of upscaling a low resolution thumbnail image of a
person, to a higher resolution image, which preserves the person's identity and
other attributes. Since the thumbnail image is of low resolution, many higher
resolution versions exist. Previous approaches produce solutions where the
person's identity is not preserved, or biased solutions, such as predominantly
Caucasian faces. We address the existing ambiguity by first augmenting the
feature extractor to better capture facial identity, facial attributes (such as
smiling or not) and race, and second, use this feature extractor to generate
high-resolution images which are identity preserving as well as conditioned on
race and facial attributes. Our results indicate an improvement in face
similarity recognition and lookalike generation as well as in the ability to
generate higher resolution images which preserve an input thumbnail identity
and whose race and attributes are maintained.
