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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

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Blender No 
Cinema 4D No 
Hunyuan Motion 1.0 No 
Maya No 
Stripe No 
Unity No 
Unreal Engine No 

Integrations

Blender Yes 
Cinema 4D Yes 
Hunyuan Motion 1.0 Yes 
Maya Yes 
Stripe Yes 
Unity Yes 
Unreal Engine Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$10 per month
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

NVIDIA

Country

United States

Website

nv-tlabs.github.io/GET3D/

Vendor Details

Company Name

Imagen3D

Website

imagen3d.org

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Product Features

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