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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 141–150 of 381 papers

TitleStatusHype
Flow Plugin Network for conditional generationCode0
FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation SynthesisCode0
RankGAN: A Maximum Margin Ranking GAN for Generating FacesCode0
Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement—0
Controllable Radiance Fields for Dynamic Face Synthesis—0
Attribute Controllable Beautiful Caucasian Face Generation by Aesthetics Driven Reinforcement Learning—0
FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis—0
Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks—0
Face Generation and Editing with StyleGAN: A Survey—0
Controllable Descendant Face Synthesis—0
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