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 51–60 of 110 papers

TitleStatusHype
Identity-Preserving Talking Face Generation with Landmark and Appearance PriorsCode2
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning—0
Multimodal-driven Talking Face Generation via a Unified Diffusion-based Generator—0
GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation—0
Audio-Driven Talking Face Generation with Diverse yet Realistic Facial Animations—0
That's What I Said: Fully-Controllable Talking Face Generation—0
A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation—0
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder—0
Seeing What You Said: Talking Face Generation Guided by a Lip Reading ExpertCode2
Emotionally Enhanced Talking Face GenerationCode2
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All datasetsCREMA-DLRW

Benchmark Results

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