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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 81–90 of 381 papers

TitleStatusHype
Lifting 2D StyleGAN for 3D-Aware Face GenerationCode1
Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent SupervisionCode1
Speech Driven Talking Face Generation from a Single Image and an Emotion ConditionCode1
Encoding in Style: a StyleGAN Encoder for Image-to-Image TranslationCode1
MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face GenerationCode1
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
Dual-Attention GAN for Large-Pose Face FrontalizationCode1
On the Detection of Digital Face ManipulationCode1
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