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Face Reenactment

Face Reenactment is an emerging conditional face synthesis task that aims at fulfilling two goals simultaneously: 1) transfer a source face shape to a target face; while 2) preserve the appearance and the identity of the target face.

Source: One-shot Face Reenactment

Papers

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Showing 51–60 of 68 papers

TitleStatusHype
LI-Net: Large-Pose Identity-Preserving Face Reenactment Network—0
Single Source One Shot Reenactment using Weighted motion From Paired Feature Points—0
KoDF: A Large-scale Korean DeepFake Detection Dataset—0
One-shot Face Reenactment Using Appearance Adaptive Normalization—0
Fast Facial Landmark Detection and Applications: A Survey—0
FACEGAN: Facial Attribute Controllable rEenactment GAN—0
Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks—0
Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment—0
FaR-GAN for One-Shot Face Reenactment—0
ActGAN: Flexible and Efficient One-shot Face Reenactment—0
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