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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

Showing 4150 of 381 papers

TitleStatusHype
Text-Guided 3D Face Synthesis -- From Generation to EditingCode1
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation MethodsCode1
Laughing Matters: Introducing Laughing-Face Generation using Diffusion ModelsCode1
High-Fidelity 3D Face Generation from Natural Language DescriptionsCode1
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelCode1
GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face SynthesisCode1
StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face SynthesisCode1
Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion ModelsCode1
StyleNAT: Giving Each Head a New PerspectiveCode1
Text-Free Learning of a Natural Language Interface for Pretrained Face GeneratorsCode1
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