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GANonymization: A GAN-based Face Anonymization Framework for Preserving
  Emotional Expressions

GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions

3 May 2023
Fabio Hellmann
Silvan Mertes
Mohamed Benouis
Alexander Hustinx
Tzung-Chien Hsieh
Cristina Conati
P. Krawitz
Elisabeth André
    PICV
    CVBM
ArXivPDFHTML

Papers citing "GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions"

7 / 7 papers shown
Title
Face De-identification: State-of-the-art Methods and Comparative Studies
Face De-identification: State-of-the-art Methods and Comparative Studies
Jingyi Cao
Xiangyi Chen
Bo Liu
Ming Ding
Rong Xie
Li-Na Song
Zhu Li
Wenjun Zhang
PICV
52
2
0
15 Nov 2024
FAKER: Full-body Anonymization with Human Keypoint Extraction for
  Real-time Video Deidentification
FAKER: Full-body Anonymization with Human Keypoint Extraction for Real-time Video Deidentification
Byunghyun Ban
Hyoseok Lee
PICV
24
1
0
06 Aug 2024
RID-TWIN: An end-to-end pipeline for automatic face de-identification in
  videos
RID-TWIN: An end-to-end pipeline for automatic face de-identification in videos
Anirban Mukherjee
Monjoy Narayan Choudhury
D. Jayagopi
24
1
0
15 Mar 2024
PrivacyGAN: robust generative image privacy
PrivacyGAN: robust generative image privacy
M. Zameshina
Marlene Careil
Olivier Teytaud
Laurent Najman
PICV
39
0
0
19 Oct 2023
Privacy Preserving Face Recognition Utilizing Differential Privacy
Privacy Preserving Face Recognition Utilizing Differential Privacy
Pathum Chamikara Mahawaga Arachchige
P. Bertók
I. Khalil
D. Liu
S. Çamtepe
PICV
39
115
0
21 May 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,387
0
21 Nov 2016
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