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 101–110 of 381 papers

TitleStatusHype
Text-Guided 3D Face Synthesis -- From Generation to EditingCode1
Seeing through the Mask: Multi-task Generative Mask Decoupling Face Recognition—0
CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding—0
Mukh-Oboyob: Stable Diffusion and BanglaBERT enhanced Bangla Text-to-Face SynthesisCode0
HyperLips: Hyper Control Lips with High Resolution Decoder for Talking Face GenerationCode2
Realistic Speech-to-Face Generation with Speech-Conditioned Latent Diffusion Model with Face Prior—0
Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis—0
DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks—0
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation MethodsCode1
Limitations of Face Image GenerationCode0
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