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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 431–440 of 914 papers

TitleStatusHype
From Covert Hiding to Visual Editing: Robust Generative Video Steganography—0
GenAI Mirage: The Impostor Bias and the Deepfake Detection Challenge in the Era of Artificial Illusions—0
High-Fidelity Face Swapping with Style Blending—0
Unmasking Deepfake Faces from Videos Using An Explainable Cost-Sensitive Deep Learning ApproachCode1
Synthesizing Black-box Anti-forensics DeepFakes with High Visual Quality—0
DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation—0
DETER: Detecting Edited Regions for Deterring Generative Manipulations—0
Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake DetectionCode2
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake DetectionCode1
AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake DetectionCode1
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