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Description

We create a three-dimensional signed distance field (SDF) and a textured field using two latent codes. DMTet is employed to derive a 3D surface mesh from the SDF, and we sample the texture field at the surface points to obtain color information. Our training incorporates adversarial losses focused on 2D images, specifically utilizing a rasterization-based differentiable renderer to produce both RGB images and silhouettes. To distinguish between genuine and generated inputs, we implement two separate 2D discriminators—one for RGB images and another for silhouettes. The entire framework is designed to be trainable in an end-to-end manner. As various sectors increasingly transition towards the development of expansive 3D virtual environments, the demand for scalable tools that can generate substantial quantities of high-quality and diverse 3D content has become apparent. Our research endeavors to create effective 3D generative models capable of producing textured meshes that can be seamlessly integrated into 3D rendering engines, thereby facilitating their immediate application in various downstream uses. This approach not only addresses the scalability challenge but also enhances the potential for innovative applications in virtual reality and gaming.

Description

Creating 3D content is often a challenging and labor-intensive endeavor for graphic designers, digital artists, and game developers, sometimes requiring extensive hours or even days to produce a moderately intricate 3D object. To address this, Stability AI is excited to announce a private preview of Stable 3D, an innovative solution that automates the generation of concept-quality textured 3D objects, significantly reducing the difficulty involved and enabling users without expertise to produce a draft-quality 3D model in just a few minutes by choosing an image, illustration, or by providing a text prompt. The 3D objects generated through Stable 3D are provided in the widely-used ".obj" file format, allowing for further refinement in 3D software like Blender and Maya, or seamless integration into game engines such as Unreal Engine 5 or Unity. This breakthrough technology not only streamlines the creative process but also opens up new possibilities for those looking to explore 3D modeling without extensive training.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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Integrations

No details available.

Pricing Details

No price information available.
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

NVIDIA

Country

United States

Website

nv-tlabs.github.io/GET3D/

Vendor Details

Company Name

Stability AI

Founded

2019

Country

United Kingdom

Website

stability.ai/

Product Features

Product Features

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