  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. 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.
