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

Showing 3140 of 381 papers

TitleStatusHype
EigenGAN: Layer-Wise Eigen-Learning for GANsCode1
Feature Quantization Improves GAN TrainingCode1
Fine-Tuning StyleGAN2 For Cartoon Face GenerationCode1
A recurrent cycle consistency loss for progressive face-to-face synthesisCode1
ArcFace: Additive Angular Margin Loss for Deep Face RecognitionCode1
Controllable and Guided Face Synthesis for Unconstrained Face RecognitionCode1
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?Code1
Controllable 3D Face Generation with Conditional Style Code DiffusionCode1
Controllable Talking Face Generation by Implicit Facial Keypoints EditingCode1
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute LearningCode1
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