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 121–130 of 381 papers

TitleStatusHype
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
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
Emotional Conversation: Empowering Talking Faces with Cohesive Expression, Gaze and Pose Generation—0
Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement—0
EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model—0
CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields—0
A Key-Driven Framework for Identity-Preserving Face Anonymization—0
FakeLocator: Robust Localization of GAN-Based Face Manipulations—0
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