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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 21–30 of 68 papers

Title	Date	Tasks	Status	Hype	Score
HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces	Jul 20, 2023	Face Reenactment	CodeCode Available	1	5
APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment	Oct 25, 2020	CPUFace Reenactment	CodeCode Available	1	5
FSGAN: Subject Agnostic Face Swapping and Reenactment	Aug 16, 2019	Face ReenactmentFace Swapping	CodeCode Available	0	5
FReeNet: Multi-Identity Face Reenactment	May 28, 2019	DecoderFace Reenactment	CodeCode Available	0	5
One-shot Face Reenactment	Aug 5, 2019	DecoderFace Reconstruction	CodeCode Available	0	5
ReenactGAN: Learning to Reenact Faces via Boundary Transfer	Jul 29, 2018	DecoderFace Reenactment	CodeCode Available	0	5
ICface: Interpretable and Controllable Face Reenactment Using GANs	Apr 3, 2019	Face ReenactmentVideo Editing	CodeCode Available	0	5
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance	Apr 30, 2025	DenoisingFace Generation	CodeCode Available	0	5
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment	Feb 25, 2022	Face ReenactmentFace Swapping	—Unverified	0	0
Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment	Oct 10, 2021	Face Reenactment	—Unverified	0	0

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