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 231–240 of 381 papers

TitleStatusHype
EyeBAG: Accurate Control of Eye Blink and Gaze Based on Data Augmentation Leveraging Style Mixing—0
Face Alignment Using Active Shape Model And Support Vector Machine—0
FaceCook: Face Generation Based on Linear Scaling Factors—0
FaceCrafter: Identity-Conditional Diffusion with Disentangled Control over Facial Pose, Expression, and Emotion—0
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis—0
Face Generation and Editing with StyleGAN: A Survey—0
Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks—0
FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis—0
Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement—0
Faces that Speak: Jointly Synthesising Talking Face and Speech from Text—0
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