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 41–50 of 110 papers

TitleStatusHype
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
EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model—0
CPNet: Exploiting CLIP-based Attention Condenser and Probability Map Guidance for High-fidelity Talking Face Generation—0
EmoSpeaker: One-shot Fine-grained Emotion-Controlled Talking Face Generation—0
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning—0
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning—0
EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation—0
CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding—0
Audio-Driven Talking Face Generation with Diverse yet Realistic Facial Animations—0
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All datasetsCREMA-DLRW

Benchmark Results

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