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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 301–325 of 914 papers

TitleStatusHype
AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Video Deepfake Detection—0
EEG-Features for Generalized Deepfake Detection—0
Deepfake detection by exploiting surface anomalies: the SurFake approach—0
DeepFake Detection by Analyzing Convolutional Traces—0
AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection—0
DeepFake Detection Based on the Discrepancy Between the Face and its Context—0
Analyzing the Impact of Splicing Artifacts in Partially Fake Speech Signals—0
Easy, Interpretable, Effective: openSMILE for voice deepfake detection—0
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM—0
Deepfake Detection: A Comprehensive Survey from the Reliability Perspective—0
Deepfake Detection: A Comparative Analysis—0
Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review—0
ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild—0
ED^4: Explicit Data-level Debiasing for Deepfake Detection—0
Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors—0
Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines—0
Deepfake CAPTCHA: A Method for Preventing Fake Calls—0
Automated Deepfake Detection—0
Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models—0
AuthGuard: Generalizable Deepfake Detection via Language Guidance—0
ADD 2022: the First Audio Deep Synthesis Detection Challenge—0
Deepfake audio detection by speaker verification—0
Deepfake audio as a data augmentation technique for training automatic speech to text transcription models—0
A Universal Anti-Spoofing Approach for Contactless Fingerprint Biometric Systems—0
AUNet: Learning Relations Between Action Units for Face Forgery Detection—0
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