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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 3140 of 381 papers

TitleStatusHype
Face Forgery Detection with Elaborate BackboneCode1
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationCode1
ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face SynthesisCode1
Face Reconstruction with Variational Autoencoder and Face MasksCode1
Fine-Tuning StyleGAN2 For Cartoon Face GenerationCode1
A recurrent cycle consistency loss for progressive face-to-face synthesisCode1
ArcFace: Additive Angular Margin Loss for Deep Face RecognitionCode1
Dual-Attention GAN for Large-Pose Face FrontalizationCode1
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?Code1
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image GenerationCode1
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