Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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