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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 7180 of 381 papers

TitleStatusHype
Face Reconstruction with Variational Autoencoder and Face MasksCode1
EigenGAN: Layer-Wise Eigen-Learning for GANsCode1
Fine-Tuning StyleGAN2 For Cartoon Face GenerationCode1
Encoding in Style: a StyleGAN Encoder for Image-to-Image TranslationCode1
Dual-Attention GAN for Large-Pose Face FrontalizationCode1
AdvFaces: Adversarial Face SynthesisCode1
AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"Code1
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face GenerationCode1
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image GenerationCode1
FFaceNeRF: Few-shot Face Editing in Neural Radiance FieldsCode1
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