FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping

In this work, we present a new single-stage method for subject agnostic face swapping and identity transfer, named FaceDancer. We have two major contributions: Adaptive Feature Fusion Attention (AFFA) and Interpreted Feature Similarity Regularization (IFSR). The AFFA module is embedded in the decode...

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Podrobná bibliografia
Vydané v:	Proceedings / IEEE Workshop on Applications of Computer Vision s. 3443 - 3452
Hlavní autori:	Rosberg, Felix, Aksoy, Eren Erdal, Alonso-Fernandez, Fernando, Englund, Cristofer
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.01.2023
Predmet:	Adaptation models Algorithms: Biometrics and algorithms (including transfer and un-supervised learning body pose Computational modeling Computer vision face formulations Fuses gesture Image coding low-shot Machine learning architectures self semi Shape Visualization
ISSN:	2642-9381
On-line prístup:	Získať plný text
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