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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

Showing 501–550 of 914 papers

TitleStatusHype
DFGC-VRA: DeepFake Game Competition on Visual Realism AssessmentCode0
Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion—0
Complex-valued neural networks for voice anti-spoofing—0
The DKU-DUKEECE System for the Manipulation Region Location Task of ADD 2023—0
Recap: Detecting Deepfake Video with Unpredictable Tampered Traces via Recovering Faces and Mapping Recovered Faces—0
Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order SpectrogramsCode0
Recent Advancements In The Field Of Deepfake Detection—0
How Generalizable are Deepfake Image Detectors? An Empirical StudyCode0
Deepfake Detection: A Comparative Analysis—0
MFIM: Megapixel Facial Identity Manipulation—0
Circumventing Concept Erasure Methods For Text-to-Image Generative ModelsCode1
Towards General Visual-Linguistic Face Forgery Detection—0
All-for-One and One-For-All: Deep learning-based feature fusion for Synthetic Speech Detection—0
Self-Supervised Graph Transformer for Deepfake Detection—0
FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training—0
Deepfake Image Generation for Improved Brain Tumor Segmentation—0
Towards Generalizable Deepfake Detection by Primary Region Regularization—0
BlendFace: Re-designing Identity Encoders for Face-SwappingCode2
Reinforced Disentanglement for Face Swapping without Skip Connection—0
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 Models—0
FTFDNet: Learning to Detect Talking Face Video Manipulation with Tri-Modality Interaction—0
MMNet: Multi-Collaboration and Multi-Supervision Network for Sequential Deepfake Detection—0
DeepfakeBench: A Comprehensive Benchmark of Deepfake DetectionCode3
LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack—0
An End-to-End Multi-Module Audio Deepfake Generation System for ADD Challenge 2023—0
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 detection—0
Impacts and Risk of Generative AI Technology on Cyber Defense—0
FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping—0
Searching for the Fakes: Efficient Neural Architecture Search for General Face Forgery Detection—0
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 Detection—0
NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection—0
Beyond Detection: Visual Realism Assessment of Deepfakes—0
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 Data—0
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 Swapping—0
MAGE: Machine-generated Text Detection in the WildCode2
Towards generalizing deep-audio fake detection networksCode1
Building an Invisible Shield for Your Portrait against Deepfakes—0
Multi-spectral Class Center Network for Face Manipulation Detection and LocalizationCode0
Using Deepfake Technologies for Word Emphasis Detection—0
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