SOTAVerified

Face Generation

Face generation is the task of generating (or interpolating) new faces from an existing dataset.

The state-of-the-art results for this task are located in the Image Generation parent.

( Image credit: Progressive Growing of GANs for Improved Quality, Stability, and Variation )

Papers

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Showing 321–330 of 381 papers

TitleStatusHype
Attention-based Residual Speech Portrait Model for Speech to Face Generation—0
Attention-Based Lip Audio-Visual Synthesis for Talking Face Generation in the Wild—0
A Synthesis-Based Approach for Thermal-to-Visible Face Verification—0
StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads—0
A Survey on Personalized Content Synthesis with Diffusion Models—0
SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis—0
Super-Identity Convolutional Neural Network for Face Hallucination—0
Superior and Pragmatic Talking Face Generation with Teacher-Student Framework—0
SwapTalk: Audio-Driven Talking Face Generation with One-Shot Customization in Latent Space—0
SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory—0
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