TPG
2019-09
DeepPrivacy
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.
