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Face Swapping

Face swapping refers to the task of swapping faces between images or in an video, while maintaining the rest of the body and environment context.

( Image credit: Swapped Face Detection using Deep Learning and Subjective Assessment )

Papers

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Showing 676–700 of 914 papers

TitleStatusHype
Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models—0
Real Face Foundation Representation Learning for Generalized Deepfake Detection—0
End-to-end Face-swapping via Adaptive Latent Representation Learning—0
Scapegoat Generation for Privacy Protection from Deepfake—0
Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection—0
Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models—0
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors—0
Benchmarking Deepart Detection—0
Learning Pairwise Interaction for Generalizable DeepFake DetectionCode0
Why Do Facial Deepfake Detectors Fail?—0
Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of Perturbation and AI Techniques—0
Visual Realism Assessment for Face-swap VideosCode0
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM—0
Deepfake Detection using Biological Features: A Survey—0
Deepfake CAPTCHA: A Method for Preventing Fake Calls—0
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset—0
Implicit Identity Driven Deepfake Face Swapping Detection—0
Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View—0
3D-Aware Face Swapping—0
AUNet: Learning Relations Between Action Units for Face Forgery Detection—0
Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection—0
Joint Engagement Classification using Video Augmentation Techniques for Multi-person Human-robot Interaction—0
How Do Deepfakes Move? Motion Magnification for Deepfake Source Detection—0
Face Generation and Editing with StyleGAN: A Survey—0
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection—0
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