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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

Showing 110 of 68 papers

TitleStatusHype
LivePortrait: Efficient Portrait Animation with Stitching and Retargeting ControlCode11
AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait AnimationCode9
StableAnimator: High-Quality Identity-Preserving Human Image AnimationCode5
Deepfake Generation and Detection: A Benchmark and SurveyCode4
Thin-Plate Spline Motion Model for Image AnimationCode4
DF40: Toward Next-Generation Deepfake DetectionCode3
StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single VideoCode2
BakedAvatar: Baking Neural Fields for Real-Time Head Avatar SynthesisCode2
3DFaceShop: Explicitly Controllable 3D-Aware Portrait GenerationCode2
ReliableSwap: Boosting General Face Swapping Via Reliable SupervisionCode2
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