Recent StyleGAN3 Architecture

StyleGAN3 represents a significant advancement in generative adversarial networks (GANs), focusing on improving image generation quality, controllability, and robustness across diverse datasets. Current research emphasizes addressing inherent biases within the model, exploring its application to various domains beyond image generation (like CAD model optimization and universal domain translation), and enhancing its capabilities for image and video editing through latent space manipulation. These improvements have broad implications for computer graphics, deepfake detection, and other fields requiring high-fidelity image synthesis and manipulation.