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 181–190 of 381 papers

TitleStatusHype
Illumination and Shadows in Head Rotation: experiments with Denoising Diffusion Models—0
Heterogeneous Face Frontalization via Domain Agnostic Learning—0
AnyFace: Free-style Text-to-Face Synthesis and Manipulation—0
Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations—0
Identity-Preserving Realistic Talking Face Generation—0
High Diversity Attribute Guided Face Generation with GANs—0
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis—0
High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model—0
High Fidelity Face Manipulation with Extreme Poses and Expressions—0
FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation—0
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