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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 781–790 of 914 papers

TitleStatusHype
Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection—0
Diffusion Deepfake—0
DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection—0
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training—0
Distilled Transformers with Locally Enhanced Global Representations for Face Forgery Detection—0
Do Deepfake Detectors Work in Reality?—0
Does Audio Deepfake Detection Generalize?—0
DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation—0
DPL: Cross-quality DeepFake Detection via Dual Progressive Learning—0
Dual Defense: Adversarial, Traceable, and Invisible Robust Watermarking against Face Swapping—0
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