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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 401–450 of 914 papers

TitleStatusHype
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
Fast Face-swap Using Convolutional Neural Networks—0
DeepFake Detection by Analyzing Convolutional Traces—0
FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations—0
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models—0
DeepFake Detection Based on the Discrepancy Between the Face and its Context—0
AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection—0
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM—0
FakeLocator: Robust Localization of GAN-Based Face Manipulations—0
Deepfake Detection: A Comprehensive Survey from the Reliability Perspective—0
Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection—0
FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios—0
Deepfake Detection: A Comparative Analysis—0
Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review—0
Analyzing the Impact of Splicing Artifacts in Partially Fake Speech Signals—0
ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild—0
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities—0
Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines—0
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering—0
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate—0
FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training—0
Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing—0
Deepfake CAPTCHA: A Method for Preventing Fake Calls—0
Automated Deepfake Detection—0
Facial Forgery-based Deepfake Detection using Fine-Grained Features—0
FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units—0
Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach—0
Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models—0
Few-Shot Head Swapping in the Wild—0
AuthGuard: Generalizable Deepfake Detection via Language Guidance—0
Face Transformer: Towards High Fidelity and Accurate Face Swapping—0
FaceTracer: Unveiling Source Identities from Swapped Face Images and Videos for Fraud Prevention—0
Deepfake audio detection by speaker verification—0
Fighting deepfakes by detecting GAN DCT anomalies—0
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection—0
Deepfake audio as a data augmentation technique for training automatic speech to text transcription models—0
A Universal Anti-Spoofing Approach for Contactless Fingerprint Biometric Systems—0
FIVA: Facial Image and Video Anonymization and Anonymization Defense—0
FaceSwapGuard: Safeguarding Facial Privacy from DeepFake Threats through Identity Obfuscation—0
FaceShield: Defending Facial Image against Deepfake Threats—0
AUNet: Learning Relations Between Action Units for Face Forgery Detection—0
FlowFace: Semantic Flow-guided Shape-aware Face Swapping—0
Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes—0
A Multimodal Framework for Deepfake Detection—0
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning—0
FractalForensics: Proactive Deepfake Detection and Localization via Fractal Watermarks—0
FaceGuard: Proactive Deepfake Detection—0
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