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 61–70 of 110 papers

TitleStatusHype
That's What I Said: Fully-Controllable Talking Face Generation—0
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
MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes—0
An Audio-Visual Attention Based Multimodal Network for Fake Talking Face Videos Detection—0
Attention-Based Lip Audio-Visual Synthesis for Talking Face Generation in the Wild—0
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All datasetsCREMA-DLRW

Benchmark Results

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