Abstract
As more and more personal photos are shared online,
being able to obfuscate identities in such photos is becoming a necessity for privacy protection. People have largely
resorted to blacking out or blurring head regions, but they
result in poor user experience while being surprisingly ineffective against state of the art person recognizers [17]. In
this work, we propose a novel head inpainting obfuscation
technique. Generating a realistic head inpainting in social
media photos is challenging because subjects appear in diverse activities and head orientations. We thus split the task
into two sub-tasks: (1) facial landmark generation from image context (e.g. body pose) for seamless hypothesis of sensible head pose, and (2) facial landmark conditioned head
inpainting. We verify that our inpainting method generates
realistic person images, while achieving superior obfuscation performance against automatic person recognizers.