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 111–120 of 381 papers

TitleStatusHype
A Survey on Personalized Content Synthesis with Diffusion Models—0
Emotion-Controllable Generalized Talking Face Generation—0
Exploring Phonetic Context-Aware Lip-Sync For Talking Face Generation—0
EyeBAG: Accurate Control of Eye Blink and Gaze Based on Data Augmentation Leveraging Style Mixing—0
Face Synthesis (FASY) System for Determining the Characteristics of a Face Image—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
Emotional Talking Faces: Making Videos More Expressive and Realistic—0
A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance—0
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