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 851–875 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
Show:102550
← PrevPage 35 of 37Next →

No leaderboard results yet.