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Description
Next3D.tech revolutionizes 3D content creation by using advanced AI to transform simple text prompts or 2D images into detailed, production-ready 3D models within seconds. Users no longer need expertise in complex software like Blender or Maya, as the platform automates the entire modeling and texturing process. It supports multiple universal file formats such as GLB, FBX, and OBJ, ensuring compatibility with popular platforms including Unity, Unreal Engine, and Blender. The AI-powered texturing engine applies photorealistic materials and advanced lighting effects, producing professional-quality results instantly. This service benefits a variety of industries, from game developers rapidly prototyping assets to e-commerce businesses creating interactive product views. By cutting modeling times from hours to seconds and reducing costs by up to 90%, Next3D.tech dramatically boosts efficiency. The platform is in a free beta phase, inviting creators to join and explore its capabilities without any upfront commitment. With over 500 users generating more than 10,000 models, it’s quickly becoming a preferred tool for 3D asset creation.
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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Web-Based
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iPhone App
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Windows
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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
Xi'an Erli Electronic Technology Co., Ltd
Founded
2024
Country
China
Website
next3d.tech/
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com/research/point-e