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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 826–850 of 914 papers

TitleStatusHype
Joint Audio-Visual Deepfake Detection—0
Contrastive Self-Supervised Learning of Global-Local Audio-Visual Representations—0
Identifying Invariant Texture Violation for Robust Deepfake Detection—0
Learning Self-Consistency for Deepfake DetectionCode1
The Emerging Threats of Deepfake Attacks and Countermeasures—0
Cost Sensitive Optimization of Deepfake Detector—0
Identity-Driven DeepFake Detection—0
ID-Reveal: Identity-aware DeepFake Video DetectionCode1
LightFace: A Hybrid Deep Face Recognition Framework—0
Adversarial Threats to DeepFake Detection: A Practical Perspective—0
Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection—0
Using GANs to Synthesise Minimum Training Data for Deepfake Generation—0
Spatio-temporal Features for Generalized Detection of Deepfake Videos—0
Neural Deepfake Detection with Factual Structure of TextCode1
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate EstimationCode1
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering—0
A Convolutional LSTM based Residual Network for Deepfake Video DetectionCode1
Deepfake detection: humans vs. machines—0
DeepFake Detection Based on the Discrepancy Between the Face and its Context—0
On Attribution of Deepfakes—0
Sharp Multiple Instance Learning for DeepFake Video Detection—0
Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection—0
Two-branch Recurrent Network for Isolating Deepfakes in Videos—0
Fighting Deepfake by Exposing the Convolutional Traces on Images—0
TweepFake: about Detecting Deepfake TweetsCode1
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