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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 276–300 of 914 papers

TitleStatusHype
Towards Generalized Proactive Defense against Face Swapping with Contour-Hybrid Watermark—0
EnvSDD: Benchmarking Environmental Sound Deepfake Detection—0
Preserving AUC Fairness in Learning with Noisy Protected GroupsCode0
HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection—0
Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time AdaptationCode0
What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection—0
CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-AttentionCode0
Beyond Face Swapping: A Diffusion-Based Digital Human Benchmark for Multimodal Deepfake Detection—0
CAD: A General Multimodal Framework for Video Deepfake Detection via Cross-Modal Alignment and Distillation—0
My Face Is Mine, Not Yours: Facial Protection Against Diffusion Model Face Swapping—0
Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection—0
Forensic deepfake audio detection using segmental speech features—0
Replay Attacks Against Audio Deepfake Detection—0
Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing—0
Multiscale Adaptive Conflict-Balancing Model For Multimedia Deepfake Detection—0
Towards Open-world Generalized Deepfake Detection: General Feature Extraction via Unsupervised Domain Adaptation—0
BanglaFake: Constructing and Evaluating a Specialized Bengali Deepfake Audio DatasetCode0
Deepfake Forensic Analysis: Source Dataset Attribution and Legal Implications of Synthetic Media Manipulation—0
X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models—0
MAVOS-DD: Multilingual Audio-Video Open-Set Deepfake Detection Benchmark—0
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection—0
Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted—0
Visual Watermarking in the Era of Diffusion Models: Advances and Challenges—0
DFA-CON: A Contrastive Learning Approach for Detecting Copyright Infringement in DeepFake Art—0
FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units—0
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