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
VQTalker: Towards Multilingual Talking Avatars through Facial Motion Tokenization—0
PortraitTalk: Towards Customizable One-Shot Audio-to-Talking Face Generation—0
Sonic: Shifting Focus to Global Audio Perception in Portrait Animation—0
MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes—0
JEAN: Joint Expression and Audio-guided NeRF-based Talking Face Generation—0
StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads—0
SegTalker: Segmentation-based Talking Face Generation with Mask-guided Local Editing—0
High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model—0
Emotional Conversation: Empowering Talking Faces with Cohesive Expression, Gaze and Pose Generation—0
OpFlowTalker: Realistic and Natural Talking Face Generation via Optical Flow Guidance—0
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All datasetsCREMA-DLRW

Benchmark Results

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