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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 351–400 of 914 papers

TitleStatusHype
Anisotropic multiresolution analyses for deepfake detection—0
Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection—0
Deepfake in the Metaverse: Security Implications for Virtual Gaming, Meetings, and Offices—0
Beyond Deepfake Images: Detecting AI-Generated Videos—0
Deepfake Image Generation for Improved Brain Tumor Segmentation—0
Deepfake histological images for enhancing digital pathology—0
An Experimental Evaluation on Deepfake Detection using Deep Face Recognition—0
BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets—0
Deepfake Forensics Using Recurrent Neural Networks—0
Deepfake Face Traceability with Disentangling Reversing Network—0
BENet: A Cross-domain Robust Network for Detecting Face Forgeries via Bias Expansion and Latent-space Attention—0
An Examination of Fairness of AI Models for Deepfake Detection—0
Advancing High Fidelity Identity Swapping for Forgery Detection—0
A3:Ambiguous Aberrations Captured via Astray-Learning for Facial Forgery Semantic Sublimation—0
DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection—0
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues—0
DeepFake Disrupter: The Detector of DeepFake Is My Friend—0
Benchmarking Foundation Models for Zero-Shot Biometric Tasks—0
Deepfake Detection with Optimized Hybrid Model: EAR Biometric Descriptor via Improved RCNN—0
DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis—0
Benchmarking Deepart Detection—0
Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers—0
Deepfake Detection via Knowledge Injection—0
Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios—0
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions—0
Advancing Continual Learning for Robust Deepfake Audio Classification—0
Deepfake Detection via Joint Unsupervised Reconstruction and Supervised Classification—0
Deepfake Detection using ImageNet models and Temporal Images of 468 Facial Landmarks—0
Deepfake Detection using Biological Features: A Survey—0
Balancing Creativity and Automation: The Influence of AI on Modern Film Production and Dissemination—0
Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion—0
Deepfake Detection of Singing Voices With Whisper Encodings—0
Deepfake Detection of Occluded Images Using a Patch-based Approach—0
A Watermark for Auto-Regressive Image Generation Models—0
An End-to-End Multi-Module Audio Deepfake Generation System for ADD Challenge 2023—0
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures—0
3D-Aware Face Swapping—0
Deepfake Detection of Face Images based on a Convolutional Neural Network—0
Deepfake Detection: Leveraging the Power of 2D and 3D CNN Ensembles—0
Deepfake detection in videos with multiple faces using geometric-fakeness features—0
Data-Driven Fairness Generalization for Deepfake Detection—0
AVTENet: Audio-Visual Transformer-based Ensemble Network Exploiting Multiple Experts for Video Deepfake Detection—0
Deepfake detection: humans vs. machines—0
Deepfake Detection for Facial Images with Facemasks—0
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities—0
DeepFake Detection: Current Challenges and Next Steps—0
AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Video Deepfake Detection—0
An Audio-Visual Attention Based Multimodal Network for Fake Talking Face Videos Detection—0
Deepfake detection by exploiting surface anomalies: the SurFake approach—0
DeepFake Detection by Analyzing Convolutional Traces—0
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