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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 21–30 of 110 papers

TitleStatusHype
Controllable Talking Face Generation by Implicit Facial Keypoints EditingCode1
Neural Text to Articulate Talk: Deep Text to Audiovisual Speech Synthesis achieving both Auditory and Photo-realismCode1
DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoderCode1
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation MethodsCode1
FNeVR: Neural Volume Rendering for Face AnimationCode1
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel’s Weekly Video PodcastsCode1
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video PodcastsCode1
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute LearningCode1
Parallel and High-Fidelity Text-to-Lip GenerationCode1
Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via TextCode1
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All datasetsCREMA-DLRW

Benchmark Results

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