> For the complete documentation index, see [llms.txt](https://metaverse-imagen.gitbook.io/ai-tools-research/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://metaverse-imagen.gitbook.io/ai-tools-research/ai-tools-main-categories/ai-resources/promising-projects/point-e-open-ai.md).

# Point-E (Open AI)

### [Point-E (OpenAI](https://openai.com/research/point-e))

Point-E Doesn’t generate 3D models in the traditional sense. Instead of generating robust and '3D-ready' 3D models, it generates point clouds which are data points in a space that represent a 3D shape. Point-E is made of 2 model types: text-to-image and image-to-3D. In order to produce a 3D object from a text prompt, Point-E will sample an image using the text-to-image model.

Their team acknowledges the products limitations but believes it has a role in technical generative AI, “While our method still falls short of the state-of-the-art in terms of sample quality, it is one to two orders of magnitude faster to sample from, offering a practical trade-off for some use cases".

<https://openai.com/research/point-e>