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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 701–750 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
Delving into the Frequency: Temporally Consistent Human Motion Transfer in the Fourier Space—0
DepthFake: a depth-based strategy for detecting Deepfake videos—0
Audio Deepfake Attribution: An Initial Dataset and Investigation—0
Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review—0
DF-Captcha: A Deepfake Captcha for Preventing Fake Calls—0
Deepfake Detection using ImageNet models and Temporal Images of 468 Facial Landmarks—0
Hybrid Transformer Network for Deepfake Detection—0
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues—0
Study of detecting behavioral signatures within DeepFake videos—0
Artificial Image Tampering Distorts Spatial Distribution of Texture Landmarks and Quality Characteristics—0
Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features—0
A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features—0
Using Deep Learning to Detecting Deepfakes—0
DeFakePro: Decentralized DeepFake Attacks Detection using ENF Authentication—0
Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption—0
WordSig: QR streams enabling platform-independent self-identification that's impossible to deepfake—0
Deepfake Video Detection with Spatiotemporal Dropout Transformer—0
Deepfake Face Traceability with Disentangling Reversing Network—0
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate—0
Delving into Sequential Patches for Deepfake Detection—0
Identifying the Context Shift between Test Benchmarks and Production Data—0
Practical Deepfake Detection: Vulnerabilities in Global Contexts—0
Deepfake histological images for enhancing digital pathology—0
Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines—0
A Survey of Deep Fake Detection for Trial Courts—0
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