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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 41–50 of 68 papers

TitleStatusHype
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head ReenactmentCode1
Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment—0
Detection of GAN-synthesized street videos—0
UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing—0
Egocentric Videoconferencing—0
Pareidolia Face Reenactment—0
Everything's Talkin': Pareidolia Face ReenactmentCode1
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
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