Featured image of Take Text to 3D Mesh with OpenAI’s New AI-Driven, Open-Source Release Source: OpenAI
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On Point

Take Text to 3D Mesh with OpenAI’s New AI-Driven, Open-Source Release

Picture ofAdam Kohut
by Adam Kohut
Published Dec 23, 2022

Point-E – available on GitHub and explored in an academic paper – sees images or text transformed into mesh-like ‘3D point clouds’

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OpenAI’s new release enables users to turn images or text into mesh-like 3D point clouds “in only one-to-two minutes on a single GPU.”

The AI-driven Point-E, which is available free on GitHub and fully open source, leverages “diffusion models” to create these 3D point clouds much more quickly than with advanced 3D model generators. The point clouds can then be converted to a mesh with a “regression-based model.”

An accompanying paper offers a deep-dive exploration of the technology and states that the “approach can serve as a starting point for further work in the field of text-to-3D synthesis.”

Point-cloud models generated by text prompt with Point-E (Source: OpenAI)
Overall, it seems Point-E has strong potential for 3D printing – although the 3D models generated are rather low resolution, and don’t show fine-grained textures or shapes. This means that point clouds created with Point-E are not currently 3D printable.

Still, with the ability to download and try for yourself, there’s not much downside to testing the waters for what tech like Point-E could lead to in the near future.

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About the Author:
Adam is a contributing writer who joined All3DP in 2022 and has more than a decade in tech journalism. He has written for UltiMaker, Protolabs, and many other (tech) startups and corporates worldwide.
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