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 71–80 of 110 papers

TitleStatusHype
FTFDNet: Learning to Detect Talking Face Video Manipulation with Tri-Modality Interaction—0
Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions—0
Exploring Phonetic Context-Aware Lip-Sync For Talking Face Generation—0
CPNet: Exploiting CLIP-based Attention Condenser and Probability Map Guidance for High-fidelity Talking Face Generation—0
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning—0
Multimodal-driven Talking Face Generation via a Unified Diffusion-based Generator—0
GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation—0
Audio-Driven Talking Face Generation with Diverse yet Realistic Facial Animations—0
That's What I Said: Fully-Controllable Talking Face Generation—0
A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation—0
Show:102550
← PrevPage 8 of 11Next →
All datasetsCREMA-DLRW

Benchmark Results

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