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 31–40 of 110 papers

TitleStatusHype
Parallel and High-Fidelity Text-to-Lip GenerationCode1
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute LearningCode1
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation MethodsCode1
DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoderCode1
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual RepresentationCode1
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
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All datasetsCREMA-DLRW

Benchmark Results

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