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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
AdvFaces: Adversarial Face SynthesisCode1
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelCode1
Face Reconstruction with Variational Autoencoder and Face MasksCode1
EigenGAN: Layer-Wise Eigen-Learning for GANsCode1
FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live ImagesCode1
KAN-Based Fusion of Dual-Domain for Audio-Driven Facial Landmarks GenerationCode1
AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"Code1
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face GenerationCode1
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?Code1
Matched sample selection with GANs for mitigating attribute confoundingCode1
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