Papers Face Anonymization
“Face Anonymization” 태그가 달린 논문 30편 · 필터 해제
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 AnonymizationFaceAnonyMixer: Cancelable Faces via Identity Consistent Latent Space Mixing
Advancements in face recognition (FR) technologies have amplified privacy concerns, necessitating methods that protect identity while maintaining recognition utility. Existing face anonymization methods typically focus o…
Face AnonymizationFace RecognitionRestoring Gaussian Blurred Face Images for Deanonymization Attacks
Gaussian blur is widely used to blur human faces in sensitive photos before the photos are posted on the Internet. However, it is unclear to what extent the blurred faces can be restored and used to re-identify the perso…
DeblurringFace AnonymizationMemorizationNullFace: Training-Free Localized Face Anonymization
Privacy concerns around ever increasing number of cameras are increasing in today's digital age. Although existing anonymization methods are able to obscure identity information, they often struggle to preserve the utili…
AttributeFace AnonymizationiFADIT: Invertible Face Anonymization via Disentangled Identity Transform
Face anonymization aims to conceal the visual identity of a face to safeguard the individual's privacy. Traditional methods like blurring and pixelation can largely remove identifying features, but these techniques signi…
DisentanglementFace AnonymizationImage ForensicsFace Anonymization Made Simple
Current face anonymization techniques often depend on identity loss calculated by face recognition models, which can be inaccurate and unreliable. Additionally, many methods require supplementary data such as facial land…
AttributeFace AnonymizationFace RecognitionFace SwappingContext-Aware Full Body Anonymization using Text-to-Image Diffusion Models
Anonymization plays a key role in protecting sensible information of individuals in real world datasets. Self-driving cars for example need high resolution facial features to track people and their viewing direction to p…
Face AnonymizationFull-body anonymizationSelf-Driving CarsA Key-Driven Framework for Identity-Preserving Face Anonymization
Virtual faces are crucial content in the metaverse. Recently, attempts have been made to generate virtual faces for privacy protection. Nevertheless, these virtual faces either permanently remove the identifiable informa…
Face AnonymizationFace GenerationMulti-Task LearningG2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors
Reversible face anonymization, unlike traditional face pixelization, seeks to replace sensitive identity information in facial images with synthesized alternatives, preserving privacy without sacrificing image clarity. T…
DecoderFace AnonymizationFace ModelFacial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction
The unprecedented capture and application of face images raise increasing concerns on anonymization to fight against privacy disclosure. Most existing methods may suffer from the problem of excessive change of the identi…
Face AnonymizationAnalysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
We describe the design and results from the BraTS 2023 Intracranial Meningioma Segmentation Challenge. The BraTS Meningioma Challenge differed from prior BraTS Glioma challenges in that it focused on meningiomas, which a…
Face AnonymizationSegmentationFIVA: Facial Image and Video Anonymization and Anonymization Defense
In this paper, we present a new approach for facial anonymization in images and videos, abbreviated as FIVA. Our proposed method is able to maintain the same face anonymization consistently over frames with our suggested…
Face AnonymizationFace SwappingReconstruction AttackDisguisOR: Holistic Face Anonymization for the Operating Room
Purpose: Recent advances in Surgical Data Science (SDS) have contributed to an increase in video recordings from hospital environments. While methods such as surgical workflow recognition show potential in increasing the…
Face AnonymizationDoes Image Anonymization Impact Computer Vision Training?
Image anonymization is widely adapted in practice to comply with privacy regulations in many regions. However, anonymization often degrades the quality of the data, reducing its utility for computer vision development. I…
Face AnonymizationInstance SegmentationPose EstimationPrivacy Preserving+1GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions
In recent years, the increasing availability of personal data has raised concerns regarding privacy and security. One of the critical processes to address these concerns is data anonymization, which aims to protect indiv…
Face AnonymizationGenerative Adversarial Network