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 1–10 of 110 papers

TitleStatusHype
DisentTalk: Cross-lingual Talking Face Generation via Semantic Disentangled Diffusion Model—0
UniSync: A Unified Framework for Audio-Visual Synchronization—0
PC-Talk: Precise Facial Animation Control for Audio-Driven Talking Face Generation—0
Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion—0
JoyGen: Audio-Driven 3D Depth-Aware Talking-Face Video EditingCode3
Joint Co-Speech Gesture and Expressive Talking Face Generation using Diffusion with AdaptersCode1
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection—0
VQTalker: Towards Multilingual Talking Avatars through Facial Motion Tokenization—0
PortraitTalk: Towards Customizable One-Shot Audio-to-Talking Face Generation—0
Sonic: Shifting Focus to Global Audio Perception in Portrait Animation—0
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All datasetsCREMA-DLRW

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LipGANLMD0.6—Unverified