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