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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
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training DataCode1
Detecting Deepfake Videos: An Analysis of Three Techniques—0
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes—0
Deepfake Detection using Spatiotemporal Convolutional NetworksCode1
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training—0
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow ReconstructionCode0
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms—0
Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces—0
The DeepFake Detection Challenge (DFDC) DatasetCode1
Investigating the Impact of Pre-processing and Prediction Aggregation on the DeepFake Detection Task—0
The eyes know it: FakeET -- An Eye-tracking Database to Understand Deepfake Perception—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
Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and LocalizationCode1
DeepFaceLab: Integrated, flexible and extensible face-swapping frameworkCode4
Fake face detection via adaptive manipulation traces extraction networkCode1
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
Adversarial Perturbations Fool Deepfake DetectorsCode1
Detecting Deepfakes with Metric LearningCode1
Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective Cues—0
DeepFake Detection: Current Challenges and Next Steps—0
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial ExamplesCode1
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation—0
FakeLocator: Robust Localization of GAN-Based Face Manipulations—0
Advbox: a toolbox to generate adversarial examples that fool neural networksCode2
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery DetectionCode1
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning NetworkCode1
DeepFakes and Beyond: A Survey of Face Manipulation and Fake DetectionCode4
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
Celeb-DF: A Large-scale Challenging Dataset for DeepFake ForensicsCode1
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
Latent Space Factorisation and Manipulation via Matrix Subspace ProjectionCode0
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and VideosCode0
Limits of Deepfake Detection: A Robust Estimation Viewpoint—0
Recurrent Convolutional Strategies for Face Manipulation Detection in VideosCode1
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