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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

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Showing 131–140 of 381 papers

TitleStatusHype
CPNet: Exploiting CLIP-based Attention Condenser and Probability Map Guidance for High-fidelity Talking Face Generation—0
'Tax-free' 3DMM Conditional Face Generation—0
Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes—0
Laughing Matters: Introducing Laughing-Face Generation using Diffusion ModelsCode1
Identity-Preserving Talking Face Generation with Landmark and Appearance PriorsCode2
Analyzing Bias in Diffusion-based Face Generation Models—0
High-Fidelity 3D Face Generation from Natural Language DescriptionsCode1
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning—0
Multimodal-driven Talking Face Generation via a Unified Diffusion-based Generator—0
GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation—0
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