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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 801–850 of 914 papers

TitleStatusHype
Enhancing Deepfake Detection using SE Block Attention with CNN—0
EnvSDD: Benchmarking Environmental Sound Deepfake Detection—0
Evading DeepFake Detectors via Adversarial Statistical Consistency—0
Evading Deepfake-Image Detectors with White- and Black-Box Attacks—0
Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors—0
Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection—0
Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet—0
Exploiting Style Latent Flows for Generalizing Deepfake Video Detection—0
Exploring Active Data Selection Strategies for Continuous Training in Deepfake Detection—0
Exploring Adversarial Fake Images on Face Manifold—0
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection—0
Exploring the Impact of Moire Pattern on Deepfake Detectors—0
Exploring the Robustness of AI-Driven Tools in Digital Forensics: A Preliminary Study—0
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing—0
Exploring WavLM Back-ends for Speech Spoofing and Deepfake Detection—0
Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection—0
Exposing Deepfake Face Forgeries with Guided Residuals—0
Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals—0
FaceController: Controllable Attribute Editing for Face in the Wild—0
Face Deepfakes - A Comprehensive Review—0
Face Generation and Editing with StyleGAN: A Survey—0
FaceGuard: Proactive Deepfake Detection—0
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning—0
FaceShield: Defending Facial Image against Deepfake Threats—0
FaceSwapGuard: Safeguarding Facial Privacy from DeepFake Threats through Identity Obfuscation—0
FaceTracer: Unveiling Source Identities from Swapped Face Images and Videos for Fraud Prevention—0
Face Transformer: Towards High Fidelity and Accurate Face Swapping—0
Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach—0
Facial Forgery-based Deepfake Detection using Fine-Grained Features—0
Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing—0
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate—0
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities—0
FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios—0
Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection—0
FakeLocator: Robust Localization of GAN-Based Face Manipulations—0
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering—0
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models—0
FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training—0
FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations—0
Fast Face-swap Using Convolutional Neural Networks—0
FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units—0
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors—0
Few-Shot Head Swapping in the Wild—0
Fighting Deepfake by Exposing the Convolutional Traces on Images—0
Fighting deepfakes by detecting GAN DCT anomalies—0
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection—0
Finding Facial Forgery Artifacts with Parts-Based Detectors—0
FIVA: Facial Image and Video Anonymization and Anonymization Defense—0
FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping—0
FlowFace: Semantic Flow-guided Shape-aware Face Swapping—0
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