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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 61–70 of 914 papers

TitleStatusHype
DFA-CON: A Contrastive Learning Approach for Detecting Copyright Infringement in DeepFake Art—0
TT-DF: A Large-Scale Diffusion-Based Dataset and Benchmark for Human Body Forgery DetectionCode1
WaveGuard: Robust Deepfake Detection and Source Tracing via Dual-Tree Complex Wavelet and Graph Neural NetworksCode1
Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted—0
FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units—0
Visual Watermarking in the Era of Diffusion Models: Advances and Challenges—0
Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask LearningCode1
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection—0
Cross-Branch Orthogonality for Improved Generalization in Face Deepfake Detection—0
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution—0
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