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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
Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation—0
FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance Head-pose and Facial Expression Features—0
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset—0
Learning Dense Correspondence for NeRF-Based Face Reenactment—0
MaskRenderer: 3D-Infused Multi-Mask Realistic Face Reenactment—0
ToonTalker: Cross-Domain Face Reenactment—0
On the Vulnerability of DeepFake Detectors to Attacks Generated by Denoising Diffusion Models—0
Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations—0
High-fidelity Facial Avatar Reconstruction from Monocular Video with Generative Priors—0
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