SOTAVerified

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
DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation—0
Few-Shot Head Swapping in the Wild—0
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities—0
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization—0
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech—0
Does Audio Deepfake Detection Generalize?—0
Fighting deepfakes by detecting GAN DCT anomalies—0
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection—0
Finding Facial Forgery Artifacts with Parts-Based Detectors—0
Do Deepfake Detectors Work in Reality?—0
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