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 21–30 of 68 papers

TitleStatusHype
SMILE: Semantically-guided Multi-attribute Image and Layout EditingCode1
APB2Face: Audio-guided face reenactment with auxiliary pose and blink signalsCode1
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric GuidanceCode0
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
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
DiffusionAct: Controllable Diffusion Autoencoder for One-shot Face Reenactment—0
Show:102550
← PrevPage 3 of 7Next →

No leaderboard results yet.