The StyleGAN3 model has been released, offering significant improvements over its predecessor in terms of generating natural-looking images and videos. The new architecture removes a major flaw known as "texture sticking," which caused unwanted artifacts to appear in motion. By making the generator equivariant to translation and rotation, StyleGAN3 can generate more realistic images that move naturally in videos. The model achieves state-of-the-art results on un-aligned datasets and has been successfully applied to various tasks, including video generation and animation. With its new architecture, StyleGAN3 opens up new possibilities for image generation and video creation.