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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 751–800 of 914 papers

TitleStatusHype
DeePhy: On Deepfake Phylogeny—0
Deep Insights of Deepfake Technology : A Review—0
Deep Learning for Deepfakes Creation and Detection: A Survey—0
Deep Learning Technology for Face Forgery Detection: A Survey—0
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms—0
DeepSpeak Dataset v1.0—0
DefakeHop++: An Enhanced Lightweight Deepfake Detector—0
DeFakePro: Decentralized DeepFake Attacks Detection using ENF Authentication—0
Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces—0
Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces—0
Delving into Sequential Patches for Deepfake Detection—0
Delving into the Frequency: Temporally Consistent Human Motion Transfer in the Fourier Space—0
DepthFake: a depth-based strategy for detecting Deepfake videos—0
Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies—0
Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption—0
Detecting Deepfake-Forged Contents with Separable Convolutional Neural Network and Image Segmentation—0
Detecting Deepfake Videos: An Analysis of Three Techniques—0
Detecting Deepfake Videos Using Euler Video Magnification—0
Detecting Localized Deepfake Manipulations Using Action Unit-Guided Video Representations—0
Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models—0
Detection of Deepfake Videos Using Long Distance Attention—0
Detection of GAN-synthesized street videos—0
DETER: Detecting Edited Regions for Deterring Generative Manipulations—0
DFA-CON: A Contrastive Learning Approach for Detecting Copyright Infringement in DeepFake Art—0
DF-Captcha: A Deepfake Captcha for Preventing Fake Calls—0
DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection—0
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
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