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 276–300 of 914 papers

TitleStatusHype
Easy, Interpretable, Effective: openSMILE for voice deepfake detection—0
2D-Malafide: Adversarial Attacks Against Face Deepfake Detection SystemsCode0
Analyzing the Impact of Splicing Artifacts in Partially Fake Speech Signals—0
Guided and Fused: Efficient Frozen CLIP-ViT with Feature Guidance and Multi-Stage Feature Fusion for Generalizable Deepfake Detection—0
Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style MixtureCode0
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
Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies—0
IDRetracor: Towards Visual Forensics Against Malicious Face Swapping—0
ED^4: Explicit Data-level Debiasing for Deepfake Detection—0
Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge—0
ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild—0
DeepSpeak Dataset v1.0—0
WWW: Where, Which and Whatever Enhancing Interpretability in Multimodal Deepfake DetectionCode0
ReSyncer: Rewiring Style-based Generator for Unified Audio-Visually Synced Facial Performer—0
LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation—0
Multiple Contexts and Frequencies Aggregation Network forDeepfake Detection—0
Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and LocalizationCode1
Deepfake Media Forensics: State of the Art and Challenges Ahead—0
Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local SimilaritiesCode2
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