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 281–290 of 914 papers

TitleStatusHype
Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?Code0
ASASVIcomtech: The Vicomtech-UGR Speech Deepfake Detection and SASV Systems for the ASVspoof5 Challenge—0
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake DetectionCode2
FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis AssistantCode1
ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale—0
Penny-Wise and Pound-Foolish in Deepfake DetectionCode0
WavLM model ensemble for audio deepfake detectionCode0
IDRetracor: Towards Visual Forensics Against Malicious Face Swapping—0
Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies—0
Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge—0
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