Target-oriented face de-identification models aim to anonymize the identity of a target individual across different images or video frames, such that the target can no longer be reliably recognized, while maintaining key characteristics of the visual data. Such models commonly leverage generative encoder-decoder archit...
Felix Rosberg, Vitomir Štruc, Cristofer Englund et al.· 0 citations
This work proposes GRACE, a structured concept erasure framework designed to enable localized and selective intervention, and introduces a semantically weighted sensitive subspace estimation to precisely lock intervention directions, and employs lightweight subspace-constrained adapters to prevent global semantic distu...
Qing Gong, Yi-Huai Liang, Yuan-Lun Xie et al.· 0 citations
Face recognition templates are compact identity representations, yet they also encode rich semantic information about facial appearance. Prior work has shown that templates can be inverted to images or indirectly manipulated through image-editing pipelines, but direct semantic editing in template space remains largely...
Leon Todorov, Peter Rot, Peter Peer et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.