Face Anonymization
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Benchmarks
2019_test set
LFW
Most implemented
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
NullFace: Training-Free Localized Face Anonymization
Face Anonymization Made Simple
Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models
G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors
DisguisOR: Holistic Face Anonymization for the Operating Room
Papers
Face anonymization preserving facial expressions and photometric realism
The widespread sharing of face images on social media platforms and in large-scale datasets raises pressing privacy concerns, as biometric identifiers can be exploited without consent. Face anonymization seeks to generat…
Face AnonymizationColor ConstancyReverse Personalization
Recent text-to-image diffusion models have demonstrated remarkable generation of realistic facial images conditioned on textual prompts and human identities, enabling creating personalized facial imagery. However, existi…
Face AnonymizationBeyond Inference Intervention: Identity-Decoupled Diffusion for Face Anonymization
Face anonymization aims to conceal identity information while preserving non-identity attributes. Mainstream diffusion models rely on inference-time interventions such as negative guidance or energy-based optimization, w…
Face AnonymizationSecure and reversible face anonymization with diffusion models
Face anonymization aims to protect sensitive identity information by altering faces while preserving visual realism and utility for downstream computer vision tasks. Current methods struggle to simultaneously ensure high…
Face AnonymizationPerFace: Metric Learning in Perceptual Facial Similarity for Enhanced Face Anonymization
In response to rising societal awareness of privacy concerns, face anonymization techniques have advanced, including the emergence of face-swapping methods that replace one identity with another. Achieving a balance betw…
Face AnonymizationMetric LearningFace SwappingControllable Localized Face Anonymization Via Diffusion Inpainting
The growing use of portrait images in computer vision highlights the need to protect personal identities. At the same time, anonymized images must remain useful for downstream computer vision tasks. In this work, we prop…
Face Anonymization