Integrating Generative AI into AR systems involves several challenges, including maintaining real-time performance, ensuring context-aware generation, and managing computational load. Generative AI models need to produce relevant content quickly while preserving the quality and alignment with the user's environment.
Here is the code snippet you can refer to:

In the above code, we are using the following key points:
- Real-Time Processing: Generative AI needs to generate content quickly to fit seamlessly into the AR environment without delays.
- Context Awareness: The generated content must be contextually relevant to the user's environment and position in real time.
- Resource Constraints: AR systems often run on devices with limited computational power, making it challenging to deploy large generative models.
- Quality vs. Performance Tradeoff: Ensuring high-quality content generation while keeping performance optimal is a delicate balance in AR applications.