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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 421–430 of 914 papers

TitleStatusHype
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM—0
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering—0
A Systematical Solution for Face De-identification—0
DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation—0
FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations—0
DeepFake Detection Based on the Discrepancy Between the Face and its Context—0
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization—0
Fast Face-swap Using Convolutional Neural Networks—0
FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units—0
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech—0
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