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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 226–250 of 914 papers

TitleStatusHype
DPL: Cross-quality DeepFake Detection via Dual Progressive Learning—0
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap—0
Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge—0
Can DeepFake Speech be Reliably Detected?—0
Diffuse or Confuse: A Diffusion Deepfake Speech DatasetCode0
X^2-DFD: A framework for eXplainable and eXtendable Deepfake Detection—0
Herd Mentality in Augmentation -- Not a Good Idea! A Robust Multi-stage Approach towards Deepfake DetectionCode0
Where are we in audio deepfake detection? A systematic analysis over generative and detection modelsCode1
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable DiffusionCode2
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection—0
A Multimodal Framework for Deepfake Detection—0
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models—0
Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking—0
Augmentation through Laundering Attacks for Audio Spoof Detection—0
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense ReasoningCode1
Self-supervised Auxiliary Learning for Texture and Model-based Hybrid Robust and Fair Featuring in Face Analysis—0
CausalVE: Face Video Privacy Encryption via Causal Video Prediction—0
Wavelet-Driven Generalizable Framework for Deepfake Face Forgery DetectionCode1
A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System—0
Face Forgery Detection with Elaborate BackboneCode1
Representation Loss Minimization with Randomized Selection Strategy for Efficient Environmental Fake Audio Detection—0
Leveraging Mixture of Experts for Improved Speech Deepfake Detection—0
Room Impulse Responses help attackers to evade Deep Fake Detection—0
Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection—0
Deep Learning Technology for Face Forgery Detection: A Survey—0
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