8 citations · 16 across the 4 of their papers we have counts for
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cs.CV2022★ 8 cited
DeepPrivacy2: Towards Realistic Full-Body Anonymization
Håkon Hukkelås, Frank Lindseth
Generative Adversarial Networks (GANs) are widely adapted for anonymization of human figures. However, current state-of-the-art limit anonymization to the task of face anonymizatio…
cs.CV2022★ 3 cited
Realistic Full-Body Anonymization with Surface-Guided GANs
Håkon Hukkelås, Morten Smebye, Rudolf Mester +1
Recent work on image anonymization has shown that generative adversarial networks (GANs) can generate near-photorealistic faces to anonymize individuals. However, scaling up these…