Point-e

Point-e

The tool is called Point- and it offers point cloud diffusion and 3D model synthesis. It is an open-source project on GitHub with an MIT license. It includes sample notebooks demonstrating its usage and capabilities, including generating 3D point clouds from images and text descriptions, producing meshes from point clouds, and using evaluation scripts. The tool is written in Python and has two contributors.

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Point-E: A system for generating 3D point clouds from complex ... - OpenAI

In this paper, we explore an alternative method for 3D object generation which produces 3D models in only 1-2 minutes on a single GPU. Our method first generates a single synthetic view using a text-to-image diffusion model, and then produces a 3D point cloud using a second diffusion model which conditions on the generated image. While our ... [Continue..]
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What Is Point-E AI? | Pointe AI

Point-E AI is a 3D object generation tool developed by OpenAI that combines text-to-image and image-to-3D models. It can generate 3D models in just 1-2 minutes on a single GPU, making it faster and requiring less powerful hardware compared to other methods. Point-E AI has the potential to revolutionize industries such as gaming, design, and ... [Continue..]
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openai/point-e: Point cloud diffusion for 3D model synthesis - GitHub

Install with pip install -e ... To get started with examples, see the following notebooks: image2pointcloud.ipynb - sample a point cloud, conditioned on some example synthetic view images.; text2pointcloud.ipynb - use our small, worse quality pure text-to-3D model to produce 3D point clouds directly from text descriptions. This model's capabilities are limited, but it does understand some ... [Continue..]
github.com


Last Updated: Apr 12, 2024.