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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
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.
API Access
Has API
API Access
Has API
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Free Trial
Free Version
Pricing Details
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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
Xi'an Erli Electronic Technology Co., Ltd
Founded
2024
Country
China
Website
next3d.tech/