SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 41–50 of 68 papers

TitleStatusHype
DiffusionAct: Controllable Diffusion Autoencoder for One-shot Face Reenactment—0
Dual-Generator Face Reenactment—0
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset—0
Egocentric Videoconferencing—0
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control—0
FACEGAN: Facial Attribute Controllable rEenactment GAN—0
FaR-GAN for One-Shot Face Reenactment—0
Fast Facial Landmark Detection and Applications: A Survey—0
Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment—0
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment—0
Show:102550
← PrevPage 5 of 7Next →

No leaderboard results yet.