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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 191–200 of 381 papers

TitleStatusHype
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate—0
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs—0
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields—0
Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement—0
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel’s Weekly Video PodcastsCode1
EAMM: One-Shot Emotional Talking Face via Audio-Based Emotion-Aware Motion Model—0
One-Shot Face Reenactment on Megapixels—0
Text-to-Face Generation with StyleGAN2—0
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video PodcastsCode1
A comprehensive survey on semantic facial attribute editing using generative adversarial networks—0
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