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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 8190 of 381 papers

TitleStatusHype
Encoding in Style: a StyleGAN Encoder for Image-to-Image TranslationCode1
Face Forgery Detection with Elaborate BackboneCode1
EigenGAN: Layer-Wise Eigen-Learning for GANsCode1
AdvFaces: Adversarial Face SynthesisCode1
Face Reconstruction with Variational Autoencoder and Face MasksCode1
Fine-Tuning StyleGAN2 For Cartoon Face GenerationCode1
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation MethodsCode1
MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face GenerationCode1
ArcFace: Additive Angular Margin Loss for Deep Face RecognitionCode1
Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face GenerationCode1
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