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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 31–40 of 68 papers

TitleStatusHype
One-shot Neural Face Reenactment via Finding Directions in GAN's Latent Space—0
On the Vulnerability of DeepFake Detectors to Attacks Generated by Denoising Diffusion Models—0
Pareidolia Face Reenactment—0
Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose—0
Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations—0
ActGAN: Flexible and Efficient One-shot Face Reenactment—0
Anchored Diffusion for Video Face Reenactment—0
Automatic Face Reenactment—0
Compressing Video Calls using Synthetic Talking Heads—0
Detection of GAN-synthesized street videos—0
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