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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 831–840 of 914 papers

TitleStatusHype
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate—0
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities—0
FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios—0
Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection—0
FakeLocator: Robust Localization of GAN-Based Face Manipulations—0
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering—0
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models—0
FakeTracer: Catching Face-swap DeepFakes via Implanting Traces in Training—0
FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations—0
Fast Face-swap Using Convolutional Neural Networks—0
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