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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 8190 of 381 papers

TitleStatusHype
Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion modelCode0
NeRF-AD: Neural Radiance Field with Attention-based Disentanglement for Talking Face Synthesis0
Real3D-Portrait: One-shot Realistic 3D Talking Portrait SynthesisCode5
EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model0
Detecting Face Synthesis Using a Concealed Fusion Model0
Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation0
Text-Guided 3D Face Synthesis - From Generation to EditingCode1
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset0
Towards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis0
Gaussian Harmony: Attaining Fairness in Diffusion-based Face Generation Models0
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