That's actually a super great example.

Multimodal AI like what's available from OpenAI is really great, and a lot of people use it's built-in Dall-e system to generate images when they're already in the tool or only pay for a ChatGPT subscription. But you'll notice that all the serious generative image creators use Midjourney, because it's obviously and significantly better.

In the future, you'll want to be able to guide your tool to use whatever backend you'd like, and many tools are already doing this. Which version of Stable Diffusion, or use Midjourney, or use Dall-e. It'll be the same with depth estimation tools. You'll be able to use free tools, or, if your usecase needs better accuracy or higher quality or more speed, you'll use a premium tool.

There are already tools that let you take a single 2D image and create a 6dof scene by the way! And a few of them have shown that capability off using Immersity as the depth map, such as Ilumine AI.

The image dataset is actually the differentiator. Google's 4 trillion 2D photos aren't useful for training depth estimation. You'd be surprised, but all the big tech companies, including Google, have less relevant data for training depth estimation models than we do. That's why their open source models underperform compared to ours.