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Description
Recent advancements in text-based 3D object generation have yielded encouraging outcomes; however, leading methods generally need several GPU hours to create a single sample, which is a stark contrast to the latest generative image models capable of producing samples within seconds or minutes. In this study, we present a different approach to generating 3D objects that enables the creation of models in just 1-2 minutes using a single GPU. Our technique initiates by generating a synthetic view through a text-to-image diffusion model, followed by the development of a 3D point cloud using a second diffusion model that relies on the generated image for conditioning. Although our approach does not yet match the top-tier quality of existing methods, it offers a significantly faster sampling process, making it a valuable alternative for specific applications. Furthermore, we provide access to our pre-trained point cloud diffusion models, along with the evaluation code and additional models, available at this https URL. This contribution aims to facilitate further exploration and development in the realm of efficient 3D object generation.
Description
This is the formal release of the Shap-E code and model, which allows users to create 3D objects based on textual descriptions or images. You can generate a 3D model by providing a text prompt or a synthetic view image, and for optimal results, it's recommended to eliminate the background from the input image. Additionally, you can load 3D models or trimeshes, produce a series of multiview renders, and encode them into a point cloud, which can then be reverted to a visual format. To utilize these features effectively, ensure that you have Blender version 3.3.1 or a more recent version installed on your system. This opens up exciting possibilities for integrating 3D modeling with AI-driven creativity.
API Access
Has API
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API Access
Has API
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Integrations
Blender
No
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Pricing Details
Free
Free Trial
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Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
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iPhone App
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iPad App
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Android App
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Windows
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Mac
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Linux
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Chromebook
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Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
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Mac
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Linux
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Chromebook
No
Customer Support
Business Hours
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Live Rep (24/7)
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Online Support
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Customer Support
Business Hours
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Live Rep (24/7)
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Online Support
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Types of Training
Training Docs
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Webinars
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Live Training (Online)
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In Person
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Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com/research/point-e
Vendor Details
Company Name
OpenAI
Country
United States
Website
github.com/openai/shap-e