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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

SupaVoxel is an innovative AI tool that swiftly transforms a single image into a 3D model in mere seconds, significantly reducing the time typically required for such tasks. Users can upload images in formats like PNG, JPG, or WebP, with a maximum file size of 10 MB, whether it's a photograph, sketch, concept art, or screenshot, and SupaVoxel will automatically create the mesh and apply textures without needing any modeling expertise or additional software installations. The resulting models can be easily previewed in a web browser and exported in various formats, including GLB, OBJ, STL, USDZ, or 3MF, making them suitable for game development, product mockups, augmented reality scenes, 3D printing, and educational projects. The platform offers a free tier allowing three generations per day with GLB export capabilities and no requirement for credit card information, while paid subscriptions begin at $25 per year, providing benefits such as full textures, all export formats, a private commercial license, and prioritized processing. SupaVoxel caters to indie game developers, product designers, educators, and hobbyists who require quick access to functional 3D assets, streamlining the creative process in various fields. Additionally, its user-friendly interface and efficient generation process make it an appealing choice for anyone looking to enhance their projects with 3D models effortlessly.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free; paid from $19/month
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

SupaVoxel

Website

supavoxel.com

Product Features

Product Features

Alternatives

Alternatives

No Alternatives
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