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De-identification of face data has drawn increasing attention in recent years.
Image quality assessment: from error visibility to structural similarity
Wang, Z.; Bovik, A. C.; Sheikh, H. R.; and Simoncelli, E. P. 2004 · 2004
Earlier work this paper cites.
Preserving privacy by de-identifying face images
Newton, E. M.; Sweeney, L.; and Malin, B. 2005 · 2005
Earlier work this paper cites.
Semi-supervised learning of multi-factor models for face de-identification
Gross, R.; Sweeney, L.; De La Torre, F.; and Baker, S. 2008 · 2008
Earlier work this paper cites.
Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
Huang, G. B.; Mattar, M.; Berg, T.; and Learned-Miller, E. 2008 · 2008
Earlier work this paper cites.
One millisecond face alignment with an ensemble of regression trees
Kazemi, V.; and Sullivan, J. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
Earlier work this paper cites.
An approach to the de-identification of faces in different poses
Samarzija, B.; and Ribaric, S. 2014 · 2014
Earlier work this paper cites.
Attribute preserved face de-identification
Jourabloo, A.; Yin, X.; and Liu, X. 2015 · 2015
Earlier work this paper cites.
Deep learning face attributes in the wild
Liu, Z.; Luo, P.; Wang, X.; and Tang, X. 2015 · 2015
Earlier work this paper cites.
Facenet: A unified embedding for face recognition and clustering
Schroff, F.; Kalenichenko, D.; and Philbin, J. 2015 · 2015
Earlier work this paper cites.
Joint face detection and alignment using multitask cascaded convolutional networks
Zhang, K.; Zhang, Z.; Li, Z.; and Qiao, Y. 2016 · 2016
Cited alongside, same era.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Heusel, M.; Ramsauer, H.; Unterthiner, T.; Nessler, B.; and Hochreiter, S. 2017 · 2017
Cited alongside, same era.
Arbitrary style transfer in real-time with adaptive instance normalization
Huang, X.; and Belongie, S. 2017 · 2017
Cited alongside, same era.
Progressive growing of gans for improved quality, stability, and variation
Karras, T.; Aila, T.; Laine, S.; and Lehtinen, J. 2017 · 2017
Cited alongside, same era.
Face deidentification with generative deep neural networks
Meden, B.; Mallı, R. C.; Fabijan, S.; Ekenel, H. K.; Štruc, V.; and Peer, P. 2017 · 2017
Cited alongside, same era.
Live face de-identification in video
Gafni, O.; Wolf, L.; and Taigman, Y. 2019 · 2019
Later among the works it cites.
Deepprivacy: A generative adversarial network for face anonymization
Hukkelås, H.; Mester, R.; and Lindseth, F. 2019 · 2019
Later among the works it cites.
A style-based generator architecture for generative adversarial networks
Karras, T.; Laine, S.; and Aila, T. 2019 · 2019
Later among the works it cites.
Fsgan: Subject agnostic face swapping and reenactment
Nirkin, Y.; Keller, Y.; and Hassner, T. 2019 · 2019
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Semantic image synthesis with spatially-adaptive normalization
Park, T.; Liu, M.-Y.; Wang, T.-C.; and Zhu, J.-Y. 2019 · 2019
Later among the works it cites.
Faceforensics++: Learning to detect manipulated facial images
Rossler, A.; Cozzolino, D.; Verdoliva, L.; Riess, C.; Thies, J.; and Nießner, M. 2019 · 2019
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Ssh: Single stage headless face detector
Najibi, M.; Samangouei, P.; Chellappa, R.; and Davis, L. S. 2017 · 2017
Cited alongside, same era.
Vggface2: A dataset for recognising faces across pose and age
Cao, Q.; Shen, L.; Xie, W.; Parkhi, O. M.; and Zisserman, A. 2018 · 2018
Cited alongside, same era.
Learning to anonymize faces for privacy preserving action detection
Ren, Z.; Lee, Y. J.; and Ryoo, M. S. 2018 · 2018
Cited alongside, same era.
The unreasonable effectiveness of deep features as a perceptual metric
Zhang, R.; Isola, P.; Efros, A. A.; Shechtman, E.; and Wang, O. 2018 · 2018
Cited alongside, same era.
Arcface: Additive angular margin loss for deep face recognition
Deng, J.; Guo, J.; Xue, N.; and Zafeiriou, S. 2019 · 2019
Cited alongside, same era.
Natural and effective obfuscation by head inpainting
Sun, Q.; Ma, L.; Oh, S. J.; Van Gool, L.; Schiele, B.; and Fritz, M. 2018a
Cited in the paper.
A hybrid model for identity obfuscation by face replacement
Sun, Q.; Tewari, A.; Xu, W.; Fritz, M.; Theobalt, C.; and Schiele, B. 2018b
Cited in the paper.
Later among the works it cites.
Analyzing and improving the image quality of stylegan
Karras, T.; Laine, S.; Aittala, M.; Hellsten, J.; Lehtinen, J.; and Aila, T. 2020 · 2020
Later among the works it cites.
Advancing High Fidelity Identity Swapping for Forgery Detection
Li, L.; Bao, J.; Yang, H.; Chen, D.; and Wen, F. 2020 · 2020
Later among the works it cites.
Ciagan: Conditional identity anonymization generative adversarial networks
Maximov, M.; Elezi, I.; and Leal-Taixé, L. 2020 · 2020
Later among the works it cites.
Swapping autoencoder for deep image manipulation
Park, T.; Zhu, J.-Y.; Wang, O.; Lu, J.; Shechtman, E.; Efros, A. A.; and Zhang, R. 2020 · 2020
Later among the works it cites.