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 71–80 of 110 papers

TitleStatusHype
EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model—0
Emotional Conversation: Empowering Talking Faces with Cohesive Expression, Gaze and Pose Generation—0
Emotional Talking Faces: Making Videos More Expressive and Realistic—0
Emotion-Controllable Generalized Talking Face Generation—0
Exploring Phonetic Context-Aware Lip-Sync For Talking Face Generation—0
Faces that Speak: Jointly Synthesising Talking Face and Speech from Text—0
FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization—0
FT2TF: First-Person Statement Text-To-Talking Face Generation—0
FTFDNet: Learning to Detect Talking Face Video Manipulation with Tri-Modality Interaction—0
G4G:A Generic Framework for High Fidelity Talking Face Generation with Fine-grained Intra-modal Alignment—0
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All datasetsCREMA-DLRW

Benchmark Results

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