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
ToonTalker: Cross-Domain Face Reenactment—0
UniFLG: Unified Facial Landmark Generator from Text or Speech—0
UniSync: A Unified Framework for Audio-Visual Synchronization—0
VAST: Vivify Your Talking Avatar via Zero-Shot Expressive Facial Style Transfer—0
VectorTalker: SVG Talking Face Generation with Progressive Vectorisation—0
VQTalker: Towards Multilingual Talking Avatars through Facial Motion Tokenization—0
Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style—0
StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads—0
Superior and Pragmatic Talking Face Generation with Teacher-Student Framework—0
SwapTalk: Audio-Driven Talking Face Generation with One-Shot Customization in Latent Space—0
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All datasetsCREMA-DLRW

Benchmark Results

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