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Description
Imagen3D is an innovative online platform that harnesses the power of AI to transform photographs into premium 3D models, featuring top-tier topology, watertight geometry, and lifelike PBR texture maps, thus eliminating the tedious process of manual cleanup and providing ready-to-use assets for various applications like rendering, animation, 3D printing, AR or VR, and gaming in just a matter of minutes. By leveraging cutting-edge image-to-3D technology, it meticulously retains intricate surface details from the original images while offering versatile quality settings (Fast, Pro, Ultra) to help users find the ideal compromise between speed and detail, with model generation frequently completed in under three minutes. Additionally, it accommodates the upload of either single images or multiple perspectives to enhance reconstruction precision, and it outputs in widely accepted formats such as GLB, OBJ, STL, GLTF, USDZ, and MP4, ensuring compatibility with tools like Blender, Unity, Unreal, Maya, and many web viewers. This flexibility makes Imagen3D an essential asset for creators looking to streamline their 3D modeling workflow and enhance their digital projects.
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.
API Access
Has API
API Access
Has API
Integrations
Blender
Cinema 4D
Hunyuan Motion 1.0
Maya
Stripe
Unity
Unreal Engine
Integrations
Blender
Cinema 4D
Hunyuan Motion 1.0
Maya
Stripe
Unity
Unreal Engine
Pricing Details
$10 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Imagen3D
Website
imagen3d.org
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com/research/point-e