{"ID":2828093,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.15542","arxiv_id":"2512.15542","title":"BLANKET: Anonymizing Faces in Infant Video Recordings","abstract":"Ensuring the ethical use of video data involving human subjects, particularly infants, requires robust anonymization methods. We propose BLANKET (Baby-face Landmark-preserving ANonymization with Keypoint dEtection consisTency), a novel approach designed to anonymize infant faces in video recordings while preserving essential facial attributes. Our method comprises two stages. First, a new random face, compatible with the original identity, is generated via inpainting using a diffusion model. Second, the new identity is seamlessly incorporated into each video frame through temporally consistent face swapping with authentic expression transfer. The method is evaluated on a dataset of short video recordings of babies and is compared to the popular anonymization method, DeepPrivacy2. Key metrics assessed include the level of de-identification, preservation of facial attributes, impact on human pose estimation (as an example of a downstream task), and presence of artifacts. Both methods alter the identity, and our method outperforms DeepPrivacy2 in all other respects. The code is available as an easy-to-use anonymization demo at https://github.com/ctu-vras/blanket-infant-face-anonym.","short_abstract":"Ensuring the ethical use of video data involving human subjects, particularly infants, requires robust anonymization methods. We propose BLANKET (Baby-face Landmark-preserving ANonymization with Keypoint dEtection consisTency), a novel approach designed to anonymize infant faces in video recordings while preserving ess...","url_abs":"https://arxiv.org/abs/2512.15542","url_pdf":"https://arxiv.org/pdf/2512.15542v2","authors":"[\"Ditmar Hadera\",\"Jan Cech\",\"Miroslav Purkrabek\",\"Matej Hoffmann\"]","published":"2025-12-17T15:49:56Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[\"Diffusion Model\"]","has_code":false,"code_links":[{"ID":605849,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2828093,"paper_url":"https://arxiv.org/abs/2512.15542","paper_title":"BLANKET: Anonymizing Faces in Infant Video Recordings","repo_url":"https://github.com/ctu-vras/blanket-infant-face-anonym","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}