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Description
3DFY.ai has developed an innovative framework that addresses the challenge of converting 2D images into 3D models across various sectors using artificial intelligence, allowing for the creation of high-quality 3D representations from just a handful of existing images. The task of generating detailed 3D models from minimal images is particularly difficult due to the absence of crucial information and issues such as self-occlusions. At 3DFY.ai, we tackle these challenges by training our AI models on specialized datasets for different categories, which empowers them to fill in missing details in a realistic way. Our proprietary technology provides a premium service that swiftly transforms 2D images into high-quality 3D models with unmatched speed and fidelity. Furthermore, 3DFY.ai Image significantly cuts down the time and expenses associated with converting product catalogs from 2D to 3D for retailers, integrating seamlessly into their studio production workflows. This advancement not only enhances the visual appeal of products but also streamlines the overall production process, making it more efficient and cost-effective.
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.
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Free Trial
Free Version
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Free Trial
Free Version
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Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
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Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
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Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
3DFY.ai
Website
3dfy.ai/
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com/research/point-e