logo

Algorithm Used – This Person Does Not Exist

Last Updated: December 20th, 2023

Core Technology: StyleGAN Architecture

NVIDIA's StyleGAN (2019) and its successor StyleGAN2 (2020) form the backbone of our face generation system. These generative adversarial networks (GANs) enable:

  • High-resolution (1024×1024) facial image synthesis
  • Separate control of high-level attributes vs texture details
  • Non-linear feature mixing through adaptive instance normalization

Key Technical Components

Noise Injection

Uncorrelated Gaussian noise added at each convolution layer creates realistic stochastic variations in:

  • Hair texture
  • Skin pores
  • Facial hair patterns

Mapping Network

8-layer MLP transforms latent vectors to intermediate codes controlling:

  • Pose (yaw/pitch/roll)
  • Facial features spacing
  • Lighting conditions

Dataset & Availability

Trained on FFHQ dataset containing 70,000 high-quality PNG images at 1024×1024 resolution. Public resources include:

Official GitHub Repository StyleGAN Research Paper