Deepprivacy2: Towards realistic full-body anonymization
H Hukkelås, F Lindseth - … of the IEEE/CVF winter conference …, 2023 - openaccess.thecvf.com
Abstract 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 …
human figures. However, current state-of-the-art limit anonymization to the task of face …
DeepPrivacy2: Towards Realistic Full-Body Anonymization
H Hukkelås, F Lindseth - 2023 IEEE/CVF Winter Conference on …, 2023 - ieeexplore.ieee.org
Generative Adversarial Networks (GANs) are widely adopted for anonymization of human
figures. However, current state-of-the-art limits anonymization to the task of face …
figures. However, current state-of-the-art limits anonymization to the task of face …
DeepPrivacy2: Towards Realistic Full-Body Anonymization
H Hukkelås, F Lindseth - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Abstract 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 …
human figures. However, current state-of-the-art limit anonymization to the task of face …
DeepPrivacy2: Towards Realistic Full-Body Anonymization
H Hukkelås, F Lindseth - arXiv preprint arXiv:2211.09454, 2022 - arxiv.org
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 …
figures. However, current state-of-the-art limit anonymization to the task of face …
DeepPrivacy2: Towards Realistic Full-Body Anonymization
H Hukkelas, F Lindseth - 2023 IEEE/CVF Winter Conference on …, 2023 - computer.org
Abstract Generative Adversarial Networks (GANs) are widely adopted for anonymization of
human figures. However, current state-of-the-art limits anonymization to the task of face …
human figures. However, current state-of-the-art limits anonymization to the task of face …