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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 501–550 of 914 papers

TitleStatusHype
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild—0
Learning Through AI-Clones: Enhancing Self-Perception and Presentation Performance—0
The Tug-of-War Between Deepfake Generation and Detection—0
The Vicomtech Audio Deepfake Detection System based on Wav2Vec2 for the 2022 ADD Challenge—0
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap—0
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles—0
Towards a New Science of Disinformation—0
Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation—0
Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content—0
Towards Benchmarking and Evaluating Deepfake Detection—0
Towards General Deepfake Detection with Dynamic Curriculum—0
Towards generalisable and calibrated synthetic speech detection with self-supervised representations—0
Towards Generalizable Deepfake Detection by Primary Region Regularization—0
Towards Generalizable Deepfake Detection with Spatial-Frequency Collaborative Learning and Hierarchical Cross-Modal Fusion—0
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder—0
Towards Generalized Proactive Defense against Face Swapping with Contour-Hybrid Watermark—0
Towards Generalized Source Tracing for Codec-Based Deepfake Speech—0
Towards General Visual-Linguistic Face Forgery Detection—0
Towards Measuring Fairness in AI: the Casual Conversations Dataset—0
Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms—0
Towards Open-world Generalized Deepfake Detection: General Feature Extraction via Unsupervised Domain Adaptation—0
Towards Out-of-Distribution Detection in Vocoder Recognition via Latent Feature Reconstruction—0
Towards the Detection of AI-Synthesized Human Face Images—0
Towards the Development of a Real-Time Deepfake Audio Detection System in Communication Platforms—0
Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View—0
Toward Transdisciplinary Approaches to Audio Deepfake Discernment—0
Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models—0
Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection—0
TranssionADD: A multi-frame reinforcement based sequence tagging model for audio deepfake detection—0
TruthLens:A Training-Free Paradigm for DeepFake Detection—0
TruthLens: Explainable DeepFake Detection for Face Manipulated and Fully Synthetic Data—0
Two-branch Recurrent Network for Isolating Deepfakes in Videos—0
Two-Stream Neural Networks for Tampered Face Detection—0
Understanding and Improving Training-Free AI-Generated Image Detections with Vision Foundation Models—0
Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights—0
Understanding the Security of Deepfake Detection—0
Unearthing Common Inconsistency for Generalisable Deepfake Detection—0
Unexploited Information Value in Human-AI Collaboration—0
UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing—0
Unified Physical-Digital Face Attack Detection—0
UniForensics: Face Forgery Detection via General Facial Representation—0
Unlocking the Capabilities of Vision-Language Models for Generalizable and Explainable Deepfake Detection—0
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection—0
Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detection—0
Unmasking Illusions: Understanding Human Perception of Audiovisual Deepfakes—0
Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies—0
Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion—0
Using Deepfake Technologies for Word Emphasis Detection—0
Using Deep Learning to Detecting Deepfakes—0
Using GANs to Synthesise Minimum Training Data for Deepfake Generation—0
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