SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–750 of 914 papers

TitleStatusHype
Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines—0
Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review—0
Deepfake Detection: A Comparative Analysis—0
Deepfake Detection: A Comprehensive Survey from the Reliability Perspective—0
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM—0
DeepFake Detection Based on the Discrepancy Between the Face and its Context—0
DeepFake Detection by Analyzing Convolutional Traces—0
Deepfake detection by exploiting surface anomalies: the SurFake approach—0
DeepFake Detection: Current Challenges and Next Steps—0
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities—0
Deepfake Detection for Facial Images with Facemasks—0
Deepfake detection: humans vs. machines—0
Data-Driven Fairness Generalization for Deepfake Detection—0
Deepfake detection in videos with multiple faces using geometric-fakeness features—0
Deepfake Detection: Leveraging the Power of 2D and 3D CNN Ensembles—0
Deepfake Detection of Face Images based on a Convolutional Neural Network—0
Deepfake Detection of Occluded Images Using a Patch-based Approach—0
Deepfake Detection of Singing Voices With Whisper Encodings—0
Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion—0
Deepfake Detection using Biological Features: A Survey—0
Deepfake Detection using ImageNet models and Temporal Images of 468 Facial Landmarks—0
Deepfake Detection via Joint Unsupervised Reconstruction and Supervised Classification—0
Deepfake Detection via Knowledge Injection—0
Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers—0
DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis—0
Deepfake Detection with Optimized Hybrid Model: EAR Biometric Descriptor via Improved RCNN—0
DeepFake Disrupter: The Detector of DeepFake Is My Friend—0
DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection—0
Deepfake Face Traceability with Disentangling Reversing Network—0
Deepfake Forensics Using Recurrent Neural Networks—0
Deepfake histological images for enhancing digital pathology—0
Deepfake Image Generation for Improved Brain Tumor Segmentation—0
Deepfake in the Metaverse: Security Implications for Virtual Gaming, Meetings, and Offices—0
Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection—0
Deepfake Media Forensics: State of the Art and Challenges Ahead—0
DeepFake-o-meter: An Open Platform for DeepFake Detection—0
Deepfake pornography as a male gaze on fan culture—0
Deepfake Representation with Multilinear Regression—0
Deepfakes and Higher Education: A Research Agenda and Scoping Review of Synthetic Media—0
DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning—0
Deepfakes Detection with Automatic Face Weighting—0
DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance—0
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation—0
Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward—0
Deepfake Style Transfer Mixture: a First Forensic Ballistics Study on Synthetic Images—0
Deepfake Technology Unveiled: The Commoditization of AI and Its Impact on Digital Trust—0
Deepfake tweets automatic detection—0
DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning—0
Deepfake Video Detection with Spatiotemporal Dropout Transformer—0
Deepfake Video Forensics based on Transfer Learning—0
Show:102550
← PrevPage 15 of 19Next →

No leaderboard results yet.