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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 601–625 of 914 papers

TitleStatusHype
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset—0
DFREC: DeepFake Identity Recovery Based on Identity-aware Masked Autoencoder—0
DF-TransFusion: Multimodal Deepfake Detection via Lip-Audio Cross-Attention and Facial Self-Attention—0
DiffFake: Exposing Deepfakes using Differential Anomaly Detection—0
Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection—0
Diffusion Deepfake—0
DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection—0
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training—0
Distilled Transformers with Locally Enhanced Global Representations for Face Forgery Detection—0
Do Deepfake Detectors Work in Reality?—0
Does Audio Deepfake Detection Generalize?—0
DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation—0
DPL: Cross-quality DeepFake Detection via Dual Progressive Learning—0
Dual Defense: Adversarial, Traceable, and Invisible Robust Watermarking against Face Swapping—0
DUPE: Detection Undermining via Prompt Engineering for Deepfake Text—0
DynamicFace: High-Quality and Consistent Video Face Swapping using Composable 3D Facial Priors—0
Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection—0
DynamicLip: Shape-Independent Continuous Authentication via Lip Articulator Dynamics—0
Easy, Interpretable, Effective: openSMILE for voice deepfake detection—0
ED^4: Explicit Data-level Debiasing for Deepfake Detection—0
EEG-Features for Generalized Deepfake Detection—0
Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors—0
Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective Cues—0
End-to-end Face-swapping via Adaptive Latent Representation Learning—0
Enhancing Deepfake Detection using SE Block Attention with CNN—0
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