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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

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Showing 221–230 of 381 papers

TitleStatusHype
CG-NeRF: Conditional Generative Neural Radiance Fields—0
One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning—0
Face Reconstruction with Variational Autoencoder and Face MasksCode1
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?Code1
Self-supervised Correlation Mining Network for Person Image Generation—0
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey—0
A Study of the Human Perception of Synthetic Faces—0
Adversarially Perturbed Wavelet-based Morphed Face Generation—0
Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face SynthesisCode1
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationCode1
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