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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 1–10 of 68 papers

TitleStatusHype
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric GuidanceCode0
StableAnimator: High-Quality Identity-Preserving Human Image AnimationCode5
G3FA: Geometry-guided GAN for Face Animation—0
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion—0
Anchored Diffusion for Video Face Reenactment—0
Learning Online Scale Transformation for Talking Head Video Generation—0
LivePortrait: Efficient Portrait Animation with Stitching and Retargeting ControlCode11
DF40: Toward Next-Generation Deepfake DetectionCode3
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control—0
FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features—0
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