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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 851–875 of 914 papers

TitleStatusHype
Joint Audio-Visual Deepfake Detection—0
Identifying Invariant Texture Violation for Robust Deepfake Detection—0
The Emerging Threats of Deepfake Attacks and Countermeasures—0
Cost Sensitive Optimization of Deepfake Detector—0
Identity-Driven DeepFake Detection—0
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
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering—0
Deepfake detection: humans vs. machines—0
DeepFake Detection Based on the Discrepancy Between the Face and its Context—0
On Attribution of Deepfakes—0
Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection—0
Sharp Multiple Instance Learning for DeepFake Video Detection—0
Two-branch Recurrent Network for Isolating Deepfakes in Videos—0
Fighting Deepfake by Exposing the Convolutional Traces on Images—0
Detecting Deepfake Videos: An Analysis of Three Techniques—0
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes—0
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training—0
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms—0
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow ReconstructionCode0
Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces—0
The eyes know it: FakeET -- An Eye-tracking Database to Understand Deepfake Perception—0
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