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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 21–30 of 68 papers

TitleStatusHype
Initiative Defense against Facial ManipulationCode1
StyleMask: Disentangling the Style Space of StyleGAN2 for Neural Face ReenactmentCode1
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment—0
Detection of GAN-synthesized street videos—0
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion—0
Fast Facial Landmark Detection and Applications: A Survey—0
FaR-GAN for One-Shot Face Reenactment—0
Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment—0
Compressing Video Calls using Synthetic Talking Heads—0
FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features—0
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