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Description
Fast3D is an ultra-rapid AI-driven 3D model generator that converts text descriptions or single/multiple images into high-quality mesh assets, complete with customizable texture creation, mesh density options, and style presets, all accomplished in less than ten seconds without needing any modeling skills. It merges high-fidelity PBR material creation with seamless tiling and advanced style transfer, providing accurate geometric representation for lifelike structures and accommodating both text-to-3D and image-to-3D processes. The generated outputs are compatible with various pipelines, allowing for export in formats such as GLB/GLTF, FBX, OBJ/MTL, and STL, while its user-friendly web interface eliminates the need for registration or complicated setup. Fast3D is an ideal solution for a range of applications, including gaming, 3D printing, augmented and virtual reality, metaverse content, product design, and rapid prototyping, empowering creators to experiment with a wide array of ideas through features like batch uploads, random inspiration galleries, and adjustable quality settings. By significantly reducing the time needed to bring concepts to life, Fast3D revolutionizes the way designers approach their creative processes, making rapid 3D modeling accessible for everyone.
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
No details available.
Integrations
No details available.
Pricing Details
$7 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
Fast3D
Country
United States
Website
fast3d.io
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com/research/point-e