SOTAVerified

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
AdvFaces: Adversarial Face SynthesisCode1
FFaceNeRF: Few-shot Face Editing in Neural Radiance FieldsCode1
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image GenerationCode1
Face Reconstruction with Variational Autoencoder and Face MasksCode1
GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face SynthesisCode1
FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live ImagesCode1
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationCode1
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video PodcastsCode1
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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