Example Concept: AI image generation models use deep learning to understand and synthesize textures by analyzing vast datasets of images. This allows them to create realistic textures that can be applied to 3D models, ensuring that the textures are coherent with the model's geometry and lighting conditions. By inputting specific prompts, designers can generate textures that match desired styles or themes, enhancing the realism and visual appeal of 3D assets.