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Conference Paper
FaceBERT: Face De-Identification Using VQGAN and BERT
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- Authors
- Dong-Hyuck Im, Yong-Seok Seo
- Issue Date
- 2022-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.2013-2015
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper presents FaceBERT, a face de-identification technique based on image generation to solve the infringement of portrait rights. Using the VQGAN model, it learns a quantized codebook that expresses an image in block units, encodes the image using the codebook, and then trains the BERT model. As a result of an experiment using FFHQ and CelebA-HQ, it was confirmed that the face images generated using FaceBERT were natural de-identified face images and different from the originals.
- KSP Keywords
- Face image, Identification technique, face de-identification, image generation