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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 751–775 of 914 papers

TitleStatusHype
Real-centric Consistency Learning for Deepfake Detection—0
The Effectiveness of Temporal Dependency in Deepfake Video Detection—0
Exposing Deepfake Face Forgeries with Guided Residuals—0
DefakeHop++: An Enhanced Lightweight Deepfake Detector—0
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild—0
Few-Shot Head Swapping in the Wild—0
Restricted Black-box Adversarial Attack Against DeepFake Face Swapping—0
Leveraging Deepfakes to Close the Domain Gap between Real and Synthetic Images in Facial Capture Pipelines—0
Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors—0
On the Exploitation of Deepfake Model Recognition—0
On Improving Cross-dataset Generalization of Deepfake Detectors—0
Practical Digital Disguises: Leveraging Face Swaps to Protect Patient Privacy—0
Does Audio Deepfake Detection Generalize?—0
Attacker Attribution of Audio Deepfakes—0
Learning Disentangled Representation for One-shot Progressive Face SwappingCode0
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack—0
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions—0
A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection—0
Deepfake Style Transfer Mixture: a First Forensic Ballistics Study on Synthetic Images—0
Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated ImagesCode0
Towards a New Science of Disinformation—0
Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing—0
An Audio-Visual Attention Based Multimodal Network for Fake Talking Face Videos Detection—0
Region-Aware Face Swapping—0
Towards Benchmarking and Evaluating Deepfake Detection—0
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