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 81–90 of 110 papers

TitleStatusHype
DREAM-Talk: Diffusion-based Realistic Emotional Audio-driven Method for Single Image Talking Face Generation—0
EAMM: One-Shot Emotional Talking Face via Audio-Based Emotion-Aware Motion Model—0
EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation—0
EmoSpeaker: One-shot Fine-grained Emotion-Controlled Talking Face Generation—0
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
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All datasetsCREMA-DLRW

Benchmark Results

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