Proposes a three-part generative anonymization pipeline using disentangled variational encoding, manifold-aware identity replacement, and distilled latent diffusion to protect face identities in MRAG while preserving non-identity attributes.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Identity-Decoupled Anonymization for Visual Evidence in Multi-modal Retrieval-Augmented Generation
Proposes a three-part generative anonymization pipeline using disentangled variational encoding, manifold-aware identity replacement, and distilled latent diffusion to protect face identities in MRAG while preserving non-identity attributes.