Example Concept: AI-enhanced texture upscaling uses deep learning models to increase the resolution and detail of existing textures without manually creating high-resolution versions. This process involves training a neural network on high-quality texture datasets, allowing it to predict and fill in finer details, thereby improving the overall appearance of 3D models in real-time rendering environments.