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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 526–550 of 914 papers

TitleStatusHype
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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