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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 351375 of 914 papers

TitleStatusHype
A Preliminary Exploration with GPT-4o Voice Mode0
SyntheticPop: Attacking Speaker Verification Systems With Synthetic VoicePops0
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech0
Face Deepfakes - A Comprehensive Review0
Exploring Active Data Selection Strategies for Continuous Training in Deepfake Detection0
Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated SamplesCode0
XAttnMark: Learning Robust Audio Watermarking with Cross-Attention0
REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations0
Deepfake Detection of Singing Voices With Whisper Encodings0
DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection0
Extending Information Bottleneck Attribution to Video SequencesCode0
Classifying Deepfakes Using Swin Transformers0
Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation0
Deepfake Technology Unveiled: The Commoditization of AI and Its Impact on Digital Trust0
What Does an Audio Deepfake Detector Focus on? A Study in the Time Domain0
GC-ConsFlow: Leveraging Optical Flow Residuals and Global Context for Robust Deepfake Detection0
A Lightweight and Interpretable Deepfakes Detection Framework0
WMamba: Wavelet-based Mamba for Face Forgery Detection0
DynamicFace: High-Quality and Consistent Video Face Swapping using Composable 3D Facial Priors0
Audio-Visual Deepfake Detection With Local Temporal Inconsistencies0
Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models0
Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set ConditionCode0
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing0
Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools0
Vulnerability-Aware Spatio-Temporal Learning for Generalizable and Interpretable Deepfake Video DetectionCode0
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