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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 576–600 of 914 papers

TitleStatusHype
Deep Insights of Deepfake Technology : A Review—0
Deep Learning for Deepfakes Creation and Detection: A Survey—0
Deep Learning Technology for Face Forgery Detection: A Survey—0
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms—0
DeepSpeak Dataset v1.0—0
DefakeHop++: An Enhanced Lightweight Deepfake Detector—0
DeFakePro: Decentralized DeepFake Attacks Detection using ENF Authentication—0
Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces—0
Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces—0
Delving into Sequential Patches for Deepfake Detection—0
Delving into the Frequency: Temporally Consistent Human Motion Transfer in the Fourier Space—0
DepthFake: a depth-based strategy for detecting Deepfake videos—0
Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies—0
Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption—0
Detecting Deepfake-Forged Contents with Separable Convolutional Neural Network and Image Segmentation—0
Detecting Deepfake Videos: An Analysis of Three Techniques—0
Detecting Deepfake Videos Using Euler Video Magnification—0
Detecting Localized Deepfake Manipulations Using Action Unit-Guided Video Representations—0
Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models—0
Detection of Deepfake Videos Using Long Distance Attention—0
Detection of GAN-synthesized street videos—0
DETER: Detecting Edited Regions for Deterring Generative Manipulations—0
DFA-CON: A Contrastive Learning Approach for Detecting Copyright Infringement in DeepFake Art—0
DF-Captcha: A Deepfake Captcha for Preventing Fake Calls—0
DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection—0
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