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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 811–820 of 914 papers

TitleStatusHype
Spotting tell-tale visual artifacts in face swapping videos: strengths and pitfalls of CNN detectors—0
Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection—0
State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects—0
Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set ConditionCode0
Audio Codec Augmentation for Robust Collaborative Watermarking of Speech SynthesisCode0
Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive ForensicsCode0
Visual Realism Assessment for Face-swap VideosCode0
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual ManipulationsCode0
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake DetectionCode0
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and VideosCode0
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