SOTAVerified

Talking Face Generation

Talking face generation aims to synthesize a sequence of face images that correspond to given speech semantics

( Image credit: Talking Face Generation by Adversarially Disentangled Audio-Visual Representation )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–110 of 110 papers

TitleStatusHype
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning—0
Identity-Preserving Realistic Talking Face Generation—0
Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions—0
Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor—0
JEAN: Joint Expression and Audio-guided NeRF-based Talking Face Generation—0
LipFormer: High-Fidelity and Generalizable Talking Face Generation With a Pre-Learned Facial Codebook—0
SPEAK: Speech-Driven Pose and Emotion-Adjustable Talking Head Generation—0
Memories are One-to-Many Mapping Alleviators in Talking Face Generation—0
3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head—0
Multimodal-driven Talking Face Generation via a Unified Diffusion-based Generator—0
Show:102550
← PrevPage 3 of 3Next →
All datasetsCREMA-DLRW

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EmoGenEmoAcc83.2—Unverified
#ModelMetricClaimedVerifiedStatus
1LipGANLMD0.6—Unverified