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

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Showing 41–50 of 110 papers

TitleStatusHype
Capture, Learning, and Synthesis of 3D Speaking StylesCode0
ReenactGAN: Learning to Reenact Faces via Boundary TransferCode0
AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head SynthesisCode0
Exploring Phonetic Context-Aware Lip-Sync For Talking Face Generation—0
Emotion-Controllable Generalized Talking Face Generation—0
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder—0
Emotional Talking Faces: Making Videos More Expressive and Realistic—0
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs—0
Audio-Visual Speech Representation Expert for Enhanced Talking Face Video Generation and Evaluation—0
Emotional Conversation: Empowering Talking Faces with Cohesive Expression, Gaze and Pose Generation—0
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All datasetsCREMA-DLRW

Benchmark Results

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