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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

Showing 4150 of 381 papers

TitleStatusHype
Encoding in Style: a StyleGAN Encoder for Image-to-Image TranslationCode1
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image GenerationCode1
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationCode1
ArcFace: Additive Angular Margin Loss for Deep Face RecognitionCode1
A recurrent cycle consistency loss for progressive face-to-face synthesisCode1
Face Reconstruction with Variational Autoencoder and Face MasksCode1
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?Code1
EigenGAN: Layer-Wise Eigen-Learning for GANsCode1
Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion From a Single-View ImageCode1
Feature Quantization Improves GAN TrainingCode1
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