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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 551–575 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
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