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Original paper

FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment

Volume: 45, Issue: 1, Pages: 560 - 575
Published: Apr 26, 2022
Abstract
We present Face Swapping GAN (FSGAN) for face swapping and reenactment. Unlike previous work, we offer a subject agnostic swapping scheme that can be applied to pairs of faces without requiring training on those faces. We derive a novel iterative deep learning-based approach for face reenactment which adjusts significant pose and expression variations that can be applied to a single image or a video sequence. For video sequences, we introduce a...
Paper Details
Title
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment
Published Date
Apr 26, 2022
Volume
45
Issue
1
Pages
560 - 575
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