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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 281–290 of 381 papers

TitleStatusHype
Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss—0
Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement—0
Identity-Preserving Realistic Talking Face Generation—0
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANsCode2
A recurrent cycle consistency loss for progressive face-to-face synthesisCode1
Feature Quantization Improves GAN TrainingCode1
AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"Code1
One-Shot Domain Adaptation For Face Generation—0
Controllable Descendant Face Synthesis—0
Dual-Attention GAN for Large-Pose Face FrontalizationCode1
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