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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 851–900 of 914 papers

TitleStatusHype
Joint Audio-Visual Deepfake Detection—0
Identifying Invariant Texture Violation for Robust Deepfake Detection—0
The Emerging Threats of Deepfake Attacks and Countermeasures—0
Cost Sensitive Optimization of Deepfake Detector—0
Identity-Driven DeepFake Detection—0
LightFace: A Hybrid Deep Face Recognition Framework—0
Adversarial Threats to DeepFake Detection: A Practical Perspective—0
Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection—0
Using GANs to Synthesise Minimum Training Data for Deepfake Generation—0
Spatio-temporal Features for Generalized Detection of Deepfake Videos—0
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering—0
Deepfake detection: humans vs. machines—0
DeepFake Detection Based on the Discrepancy Between the Face and its Context—0
On Attribution of Deepfakes—0
Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection—0
Sharp Multiple Instance Learning for DeepFake Video Detection—0
Two-branch Recurrent Network for Isolating Deepfakes in Videos—0
Fighting Deepfake by Exposing the Convolutional Traces on Images—0
Detecting Deepfake Videos: An Analysis of Three Techniques—0
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes—0
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training—0
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms—0
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow ReconstructionCode0
Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces—0
The eyes know it: FakeET -- An Eye-tracking Database to Understand Deepfake Perception—0
Investigating the Impact of Pre-processing and Prediction Aggregation on the DeepFake Detection Task—0
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks—0
A Note on Deepfake Detection with Low-Resources—0
Advancing High Fidelity Identity Swapping for Forgery Detection—0
Deepfake Forensics Using Recurrent Neural Networks—0
Deepfake Video Forensics based on Transfer Learning—0
Preliminary Forensics Analysis of DeepFake Images—0
Deepfakes Detection with Automatic Face Weighting—0
DeepFake Detection by Analyzing Convolutional Traces—0
DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance—0
Evading Deepfake-Image Detectors with White- and Black-Box Attacks—0
Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective Cues—0
DeepFake Detection: Current Challenges and Next Steps—0
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation—0
FakeLocator: Robust Localization of GAN-Based Face Manipulations—0
Face X-ray for More General Face Forgery DetectionCode0
FaceShifter: Towards High Fidelity And Occlusion Aware Face SwappingCode0
Detecting Deepfake-Forged Contents with Separable Convolutional Neural Network and Image Segmentation—0
The Deepfake Detection Challenge (DFDC) Preview Dataset—0
Vulnerability of Face Recognition to Deep Morphing—0
FaceForensics++: Learning to Detect Manipulated Facial ImagesCode0
Deep Learning for Deepfakes Creation and Detection: A Survey—0
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder—0
Swapped Face Detection using Deep Learning and Subjective Assessment—0
FSGAN: Subject Agnostic Face Swapping and ReenactmentCode0
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