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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 376–400 of 914 papers

TitleStatusHype
Advancing Continual Learning for Robust Deepfake Audio Classification—0
Deepfake Detection via Joint Unsupervised Reconstruction and Supervised Classification—0
Deepfake Detection using ImageNet models and Temporal Images of 468 Facial Landmarks—0
Deepfake Detection using Biological Features: A Survey—0
Balancing Creativity and Automation: The Influence of AI on Modern Film Production and Dissemination—0
Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion—0
Deepfake Detection of Singing Voices With Whisper Encodings—0
Deepfake Detection of Occluded Images Using a Patch-based Approach—0
A Watermark for Auto-Regressive Image Generation Models—0
An End-to-End Multi-Module Audio Deepfake Generation System for ADD Challenge 2023—0
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures—0
3D-Aware Face Swapping—0
Deepfake Detection of Face Images based on a Convolutional Neural Network—0
Deepfake Detection: Leveraging the Power of 2D and 3D CNN Ensembles—0
Deepfake detection in videos with multiple faces using geometric-fakeness features—0
Data-Driven Fairness Generalization for Deepfake Detection—0
AVTENet: Audio-Visual Transformer-based Ensemble Network Exploiting Multiple Experts for Video Deepfake Detection—0
Deepfake detection: humans vs. machines—0
Deepfake Detection for Facial Images with Facemasks—0
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities—0
DeepFake Detection: Current Challenges and Next Steps—0
AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Video Deepfake Detection—0
An Audio-Visual Attention Based Multimodal Network for Fake Talking Face Videos Detection—0
Deepfake detection by exploiting surface anomalies: the SurFake approach—0
DeepFake Detection by Analyzing Convolutional Traces—0
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