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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 261–270 of 381 papers

TitleStatusHype
Multi-Modal Face Stylization with a Generative Prior—0
Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations—0
Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes—0
MusicFace: Music-driven Expressive Singing Face Synthesis—0
NeRF-AD: Neural Radiance Field with Attention-based Disentanglement for Talking Face Synthesis—0
BENet: A Cross-domain Robust Network for Detecting Face Forgeries via Bias Expansion and Latent-space Attention—0
Non-Adaptive Adversarial Face Generation—0
On Attribution of Deepfakes—0
One-Shot Domain Adaptation For Face Generation—0
One-Shot Face Reenactment on Megapixels—0
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