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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 526–550 of 914 papers

TitleStatusHype
Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review—0
Deepfake Detection: A Comparative Analysis—0
Deepfake Detection: A Comprehensive Survey from the Reliability Perspective—0
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM—0
DeepFake Detection Based on the Discrepancy Between the Face and its Context—0
DeepFake Detection by Analyzing Convolutional Traces—0
Deepfake detection by exploiting surface anomalies: the SurFake approach—0
DeepFake Detection: Current Challenges and Next Steps—0
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities—0
Deepfake Detection for Facial Images with Facemasks—0
Deepfake detection: humans vs. machines—0
Data-Driven Fairness Generalization for Deepfake Detection—0
Deepfake detection in videos with multiple faces using geometric-fakeness features—0
Deepfake Detection: Leveraging the Power of 2D and 3D CNN Ensembles—0
Deepfake Detection of Face Images based on a Convolutional Neural Network—0
Deepfake Detection of Occluded Images Using a Patch-based Approach—0
Deepfake Detection of Singing Voices With Whisper Encodings—0
Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion—0
Deepfake Detection using Biological Features: A Survey—0
Deepfake Detection using ImageNet models and Temporal Images of 468 Facial Landmarks—0
Deepfake Detection via Joint Unsupervised Reconstruction and Supervised Classification—0
Deepfake Detection via Knowledge Injection—0
Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers—0
DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis—0
Deepfake Detection with Optimized Hybrid Model: EAR Biometric Descriptor via Improved RCNN—0
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