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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 91100 of 381 papers

TitleStatusHype
A recurrent cycle consistency loss for progressive face-to-face synthesisCode1
Dual-Attention GAN for Large-Pose Face FrontalizationCode1
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video PodcastsCode1
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel’s Weekly Video PodcastsCode1
GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face SynthesisCode1
Parallel and High-Fidelity Text-to-Lip GenerationCode1
Controllable Radiance Fields for Dynamic Face Synthesis0
Attribute Controllable Beautiful Caucasian Face Generation by Aesthetics Driven Reinforcement Learning0
Controllable Descendant Face Synthesis0
Attention-based Residual Speech Portrait Model for Speech to Face Generation0
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