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

Showing 501550 of 914 papers

TitleStatusHype
DFGC-VRA: DeepFake Game Competition on Visual Realism AssessmentCode0
Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion0
Complex-valued neural networks for voice anti-spoofing0
The DKU-DUKEECE System for the Manipulation Region Location Task of ADD 20230
Recap: Detecting Deepfake Video with Unpredictable Tampered Traces via Recovering Faces and Mapping Recovered Faces0
Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order SpectrogramsCode0
Recent Advancements In The Field Of Deepfake Detection0
How Generalizable are Deepfake Image Detectors? An Empirical StudyCode0
Deepfake Detection: A Comparative Analysis0
MFIM: Megapixel Facial Identity Manipulation0
Circumventing Concept Erasure Methods For Text-to-Image Generative ModelsCode1
Towards General Visual-Linguistic Face Forgery Detection0
All-for-One and One-For-All: Deep learning-based feature fusion for Synthetic Speech Detection0
Self-Supervised Graph Transformer for Deepfake Detection0
FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training0
Deepfake Image Generation for Improved Brain Tumor Segmentation0
Towards Generalizable Deepfake Detection by Primary Region Regularization0
BlendFace: Re-designing Identity Encoders for Face-SwappingCode2
Reinforced Disentanglement for Face Swapping without Skip Connection0
TALL: Thumbnail Layout for Deepfake Video DetectionCode1
Deepfake Video Detection Using Generative Convolutional Vision TransformerCode1
On the Vulnerability of DeepFake Detectors to Attacks Generated by Denoising Diffusion Models0
FTFDNet: Learning to Detect Talking Face Video Manipulation with Tri-Modality Interaction0
MMNet: Multi-Collaboration and Multi-Supervision Network for Sequential Deepfake Detection0
DeepfakeBench: A Comprehensive Benchmark of Deepfake DetectionCode3
LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack0
An End-to-End Multi-Module Audio Deepfake Generation System for ADD Challenge 20230
Improving Fairness in Deepfake DetectionCode1
Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and LocalizationCode1
TranssionADD: A multi-frame reinforcement based sequence tagging model for audio deepfake detection0
Impacts and Risk of Generative AI Technology on Cyber Defense0
FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping0
Searching for the Fakes: Efficient Neural Architecture Search for General Face Forgery Detection0
Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systemsCode0
Generated Graph DetectionCode0
Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detection0
NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection0
Beyond Detection: Visual Realism Assessment of Deepfakes0
ReliableSwap: Boosting General Face Swapping Via Reliable SupervisionCode2
UNTAG: LEARNING GENERIC FEATURES FOR UNSUPERVISED TYPE-AGNOSTIC DEEPFAKE DETECTIONCode0
GAN-based Deidentification of Drivers' Face Videos: An Assessment of Human Factors Implications in NDS Data0
Improved DeepFake Detection Using Whisper FeaturesCode1
DeepFake-Adapter: Dual-Level Adapter for DeepFake DetectionCode1
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo ConversionCode0
Introducing Explicit Gaze Constraints to Face Swapping0
MAGE: Machine-generated Text Detection in the WildCode2
Towards generalizing deep-audio fake detection networksCode1
Building an Invisible Shield for Your Portrait against Deepfakes0
Multi-spectral Class Center Network for Face Manipulation Detection and LocalizationCode0
Using Deepfake Technologies for Word Emphasis Detection0
Show:102550
← PrevPage 11 of 19Next →

No leaderboard results yet.