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by hardmaru on 2019-09-11 (UTC).

DeepPrivacy: A Generative Adversarial Network for Face Anonymization

Their method anonymize faces while retaining original data distribution, ensuring total anonymization of all faces by generating images on privacy-safe information.

h/t @roadrunning01 https://t.co/68cQbbhZPj pic.twitter.com/sKjaTREgci

— hardmaru (@hardmaru) September 11, 2019
researchcvgan
by slashML on 2019-09-11 (UTC).

DeepPrivacy: A Generative Adversarial Network for Face Anonymization https://t.co/38VZyUWhA6

— /MachineLearning (@slashML) September 11, 2019
research
by Reza_Zadeh on 2019-09-11 (UTC).

Taking face censoring one more step: replace them with randomly generated face at the correct pose.

Paper: https://t.co/T2edC4VGXB
Code: https://t.co/F7iUh2lJVt pic.twitter.com/XqxKo041bG

— Reza Zadeh (@Reza_Zadeh) September 11, 2019
datasetgancvresearchw_codepytorch

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