A fully automatic anonymization technique for images.

This repository contains the source code for the paper “DeepPrivacy: A Generative Adversarial Network for Face Anonymization”, published at ISVC 2019.

The DeepPrivacy GAN never sees any privacy sensitive information, ensuring a fully anonymized image. It utilizes bounding box annotation to identify the privacy-sensitive area, and sparse pose information to guide the network in difficult scenarios. 

DeepPrivacy detects faces with state-of-the-art detection methods. Mask R-CNN is used to generate a sparse pose information of the face, and DSFD is used to detect faces in the image. 


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