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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 551–600 of 914 papers

TitleStatusHype
USTC-KXDIGIT System Description for ASVspoof5 Challenge—0
UVL2: A Unified Framework for Video Tampering Localization—0
Video Forgery Detection Using Multiple Cues on Fusion of EfficientNet and Swin Transformer—0
Video Transformer for Deepfake Detection with Incremental Learning—0
Visual Watermarking in the Era of Diffusion Models: Advances and Challenges—0
VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping—0
VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models—0
VoiceWukong: Benchmarking Deepfake Voice Detection—0
Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes—0
Vulnerability of Face Recognition to Deep Morphing—0
Wallcamera: Reinventing the Wheel?—0
Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models—0
What Does an Audio Deepfake Detector Focus on? A Study in the Time Domain—0
What's wrong with this video? Comparing Explainers for Deepfake Detection—0
What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection—0
When Handcrafted Features and Deep Features Meet Mismatched Training and Test Sets for Deepfake Detection—0
Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted—0
Why Do Facial Deepfake Detectors Fail?—0
WMamba: Wavelet-based Mamba for Face Forgery Detection—0
WordSig: QR streams enabling platform-independent self-identification that's impossible to deepfake—0
XAttnMark: Learning Robust Audio Watermarking with Cross-Attention—0
X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models—0
The eyes know it: FakeET -- An Eye-tracking Database to Understand Deepfake Perception—0
Limits of Deepfake Detection: A Robust Estimation Viewpoint—0
Multiple Contexts and Frequencies Aggregation Network forDeepfake Detection—0
LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation—0
ReSyncer: Rewiring Style-based Generator for Unified Audio-Visually Synced Facial Performer—0
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection—0
MAVOS-DD: Multilingual Audio-Video Open-Set Deepfake Detection Benchmark—0
Deepfake Forensic Analysis: Source Dataset Attribution and Legal Implications of Synthetic Media Manipulation—0
3D-Aware Face Swapping—0
A3:Ambiguous Aberrations Captured via Astray-Learning for Facial Forgery Semantic Sublimation—0
AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge—0
Active Fake: DeepFake Camouflage—0
Adaptive re-calibration of channel-wise features for Adversarial Audio Classification—0
A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations—0
ADD 2022: the First Audio Deep Synthesis Detection Challenge—0
ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild—0
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures—0
Advancing Continual Learning for Robust Deepfake Audio Classification—0
Advancing High Fidelity Identity Swapping for Forgery Detection—0
Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning—0
Adversarially robust deepfake media detection using fused convolutional neural network predictions—0
Adversarial Threats to DeepFake Detection: A Practical Perspective—0
Investigating the Impact of Pre-processing and Prediction Aggregation on the DeepFake Detection Task—0
A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features—0
A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System—0
GenAI Mirage: The Impostor Bias and the Deepfake Detection Challenge in the Era of Artificial Illusions—0
A Large-scale Interpretable Multi-modality Benchmark for Facial Image Forgery Localization—0
A Lightweight and Interpretable Deepfakes Detection Framework—0
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