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
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs—0
EAMM: One-Shot Emotional Talking Face via Audio-Based Emotion-Aware Motion Model—0
One-Shot Face Reenactment on Megapixels—0
Talking Face Generation with Multilingual TTS—0
Emotion-Controllable Generalized Talking Face Generation—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
One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning—0
Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor—0
3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head—0
Show:102550
← PrevPage 10 of 11Next →
All datasetsCREMA-DLRW

Benchmark Results

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