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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 901–914 of 914 papers

TitleStatusHype
Identity-Driven DeepFake Detection—0
Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images—0
IDRetracor: Towards Visual Forensics Against Malicious Face Swapping—0
Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors—0
Impact of Fake News on Social Media Towards Public Users of Different Age Groups—0
Impact of Video Processing Operations in Deepfake Detection—0
Impacts and Risk of Generative AI Technology on Cyber Defense—0
Imperceptible Adversarial Examples for Fake Image Detection—0
Implicit Identity Driven Deepfake Face Swapping Detection—0
CrossDF: Improving Cross-Domain Deepfake Detection with Deep Information Decomposition—0
Improving Video Deepfake Detection: A DCT-Based Approach with Patch-Level Analysis—0
In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol—0
Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection—0
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection—0
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