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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 251–260 of 914 papers

TitleStatusHype
FAME: A Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap DeepfakesCode0
From Sharpness to Better Generalization for Speech Deepfake Detection—0
LLMs Are Not Yet Ready for Deepfake Image Detection—0
Enhancing Deepfake Detection using SE Block Attention with CNN—0
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization—0
Lightweight Joint Audio-Visual Deepfake Detection via Single-Stream Multi-Modal Learning Framework—0
Towards Generalized Source Tracing for Codec-Based Deepfake Speech—0
DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection—0
TADA: Training-free Attribution and Out-of-Domain Detection of Audio DeepfakesCode0
SocialDF: Benchmark Dataset and Detection Model for Mitigating Harmful Deepfake Content on Social Media PlatformsCode0
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