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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 701–725 of 914 papers

TitleStatusHype
Artificial Intelligence Security Competition (AISC)—0
FlowFace: Semantic Flow-guided Shape-aware Face Swapping—0
A Dataless FaceSwap Detection Approach Using Synthetic ImagesCode0
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities—0
Deepfake Detection via Joint Unsupervised Reconstruction and Supervised Classification—0
Deepfake Detection: A Comprehensive Survey from the Reliability Perspective—0
Generalizable Deepfake Detection with Phase-Based Motion Analysis—0
Lip Sync Matters: A Novel Multimodal Forgery DetectorCode0
Cross-Domain Local Characteristic Enhanced Deepfake Video Detection—0
My Face My Choice: Privacy Enhancing Deepfakes for Social Media Anonymization—0
Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection—0
Anisotropic multiresolution analyses for deepfake detection—0
Adaptive re-calibration of channel-wise features for Adversarial Audio Classification—0
Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion—0
Aggregating Layers for Deepfake DetectionCode0
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors—0
Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection—0
A Machine Learning Approach for DeepFake Detection—0
Deepfake audio detection by speaker verification—0
StyleSwap: Style-Based Generator Empowers Robust Face Swapping—0
When Handcrafted Features and Deep Features Meet Mismatched Training and Test Sets for Deepfake Detection—0
DeePhy: On Deepfake Phylogeny—0
Deep Convolutional Pooling Transformer for Deepfake DetectionCode0
Multimodal Graph Learning for Deepfake Detection—0
Synthesizing Photorealistic Virtual Humans Through Cross-modal Disentanglement—0
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