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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

Showing 276300 of 914 papers

TitleStatusHype
DiffFake: Exposing Deepfakes using Differential Anomaly Detection0
Deepfake Detection via Joint Unsupervised Reconstruction and Supervised Classification0
An End-to-End Multi-Module Audio Deepfake Generation System for ADD Challenge 20230
Deepfake Detection using ImageNet models and Temporal Images of 468 Facial Landmarks0
Deepfake Detection using Biological Features: A Survey0
Balancing Creativity and Automation: The Influence of AI on Modern Film Production and Dissemination0
3D-Aware Face Swapping0
Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion0
A Watermark for Auto-Regressive Image Generation Models0
Deepfake Detection of Singing Voices With Whisper Encodings0
Deepfake Detection of Occluded Images Using a Patch-based Approach0
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures0
LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation0
Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection0
Diffusion Deepfake0
Deepfake Detection of Face Images based on a Convolutional Neural Network0
Deepfake Detection: Leveraging the Power of 2D and 3D CNN Ensembles0
An Audio-Visual Attention Based Multimodal Network for Fake Talking Face Videos Detection0
Deepfake detection in videos with multiple faces using geometric-fakeness features0
Data-Driven Fairness Generalization for Deepfake Detection0
AVTENet: Audio-Visual Transformer-based Ensemble Network Exploiting Multiple Experts for Video Deepfake Detection0
Deepfake Forensic Analysis: Source Dataset Attribution and Legal Implications of Synthetic Media Manipulation0
Deepfake detection: humans vs. machines0
Deepfake Detection for Facial Images with Facemasks0
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities0
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