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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 701–750 of 914 papers

TitleStatusHype
Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights—0
Understanding the Security of Deepfake Detection—0
Unearthing Common Inconsistency for Generalisable Deepfake Detection—0
Unexploited Information Value in Human-AI Collaboration—0
UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing—0
Unified Physical-Digital Face Attack Detection—0
UniForensics: Face Forgery Detection via General Facial Representation—0
Unlocking the Capabilities of Vision-Language Models for Generalizable and Explainable Deepfake Detection—0
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection—0
Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detection—0
Unmasking Illusions: Understanding Human Perception of Audiovisual Deepfakes—0
Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies—0
Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion—0
Using Deepfake Technologies for Word Emphasis Detection—0
Using Deep Learning to Detecting Deepfakes—0
Using GANs to Synthesise Minimum Training Data for Deepfake Generation—0
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
On Attribution of Deepfakes—0
NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection—0
NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping—0
On Evaluating The Performance of Watermarked Machine-Generated Texts Under Adversarial Attacks—0
On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs—0
On Improving Cross-dataset Generalization of Deepfake Detectors—0
On the Exploitation of Deepfake Model Recognition—0
On the Vulnerability of DeepFake Detectors to Attacks Generated by Denoising Diffusion Models—0
OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild—0
PartialEdit: Identifying Partial Deepfakes in the Era of Neural Speech Editing—0
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey—0
Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes—0
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