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Multimedia Systems

Erschienen in:

14.10.2022 | Regular Paper

Face swapping detection based on identity spatial constraints with weighted frequency division

verfasst von: Zupeng Ai, Chengwei Peng, Jun Jiang, Zekun Li, Bing Li

Erschienen in: Multimedia Systems | Ausgabe 2/2023

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Abstract

The generalization of face swapping detectors is necessary when applied to the practical applications. Although the most existing methods may achieve accuracy detection performance on the known forgeries, they fail to make the prediction when faced with unseen face manipulation methods. To alleviate the problem, we propose a novel and practical framework called Detection based on Identity Spatial Constraints with Weighted Frequency Division (DISC-WFD) through introducing the reference image, consisting of the backbone network, the shared Identity Semantic Encoder (ISE) and the corresponding Identity Spatial Constraint (ISC) branches. The ISE is utilized to measure the identity similarity between the input image and the reference image and generates identity spatial constraints. The constraints are imposed on ISC to focus on the high frequency and low-frequency identity-related areas for the discriminative information. The proposed method can significantly improve the performance and the generalization against the unseen manipulation methods. Furthermore, the cross-dataset experiments validate the superiority and the effectiveness of the DISC-WFD.

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Titel: Face swapping detection based on identity spatial constraints with weighted frequency division
verfasst von: Zupeng Ai
Chengwei Peng
Jun Jiang
Zekun Li
Bing Li
Publikationsdatum: 14.10.2022
Verlag: Springer Berlin Heidelberg
Erschienen in: Multimedia Systems / Ausgabe 2/2023
Print ISSN: 0942-4962
Elektronische ISSN: 1432-1882
DOI: https://doi.org/10.1007/s00530-022-01007-4

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