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 91–100 of 110 papers

TitleStatusHype
FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization—0
FT2TF: First-Person Statement Text-To-Talking Face Generation—0
FTFDNet: Learning to Detect Talking Face Video Manipulation with Tri-Modality Interaction—0
G4G:A Generic Framework for High Fidelity Talking Face Generation with Fine-grained Intra-modal Alignment—0
GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation—0
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection—0
GSTalker: Real-time Audio-Driven Talking Face Generation via Deformable Gaussian Splatting—0
Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss—0
High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model—0
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning—0
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All datasetsCREMA-DLRW

Benchmark Results

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