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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 31–40 of 110 papers

TitleStatusHype
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation MethodsCode1
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video PodcastsCode1
Flow-Guided One-Shot Talking Face Generation With a High-Resolution Audio-Visual DatasetCode1
DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoderCode1
Text2Video: Text-driven Talking-head Video Synthesis with Personalized Phoneme-Pose DictionaryCode1
Stochastic Talking Face Generation Using Latent Distribution MatchingCode0
ReenactGAN: Learning to Reenact Faces via Boundary TransferCode0
Neural Voice Puppetry: Audio-driven Facial ReenactmentCode0
Capture, Learning, and Synthesis of 3D Speaking StylesCode0
GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face GuidanceCode0
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All datasetsCREMA-DLRW

Benchmark Results

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