Example Concept: AI models like GANs can be trained on large datasets of real-world textures to learn patterns and features. Once trained, these models can generate new textures that are both high-quality and diverse, allowing 3D artists to apply them directly to models or use them as a base for further customization. This approach not only speeds up the workflow but also enhances the realism of 3D models by providing textures that are difficult to create manually.