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cs.CV2023★ 1 cited
Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition
Jan Niklas Kolf, Tim Rieber, Jurek Elliesen +3
Many of the commonly used datasets for face recognition development are collected from the internet without proper user consent. Due to the increasing focus on privacy in the socia…
cs.CV2022
SFace: Privacy-friendly and Accurate Face Recognition using Synthetic Data
Fadi Boutros, Marco Huber, Patrick Siebke +2
Recent deep face recognition models proposed in the literature utilized large-scale public datasets such as MS-Celeb-1M and VGGFace2 for training very deep neural networks, achievi…