SOTAVerified

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 121–130 of 381 papers

TitleStatusHype
EyeBAG: Accurate Control of Eye Blink and Gaze Based on Data Augmentation Leveraging Style Mixing—0
PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN—0
Text-driven Talking Face Synthesis by Reprogramming Audio-driven Models—0
Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions—0
MA-NeRF: Motion-Assisted Neural Radiance Fields for Face Synthesis from Sparse Images—0
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation—0
Exploring Phonetic Context-Aware Lip-Sync For Talking Face Generation—0
F?D: On understanding the role of deep feature spaces on face generation evaluation—0
Multi-Modal Face Stylization with a Generative Prior—0
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistencyCode0
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