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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 6170 of 381 papers

TitleStatusHype
Graph-based Generative Face Anonymisation with Pose PreservationCode1
Face Reconstruction with Variational Autoencoder and Face MasksCode1
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?Code1
Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face SynthesisCode1
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationCode1
SynFace: Face Recognition with Synthetic DataCode1
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute LearningCode1
Parallel and High-Fidelity Text-to-Lip GenerationCode1
Fine-Tuning StyleGAN2 For Cartoon Face GenerationCode1
Flow-Guided One-Shot Talking Face Generation With a High-Resolution Audio-Visual DatasetCode1
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