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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
Hi3D is an advanced AI-powered image-to-3D generation platform designed to help creators, artists, developers, and makers generate production-ready 3D models quickly and efficiently from 2D images. Powered by the Sparc3D × Ultra3D engine, Hi3D focuses on delivering highly detailed, clean, and usable geometry with realistic textures suitable for professional creative and manufacturing workflows. The platform reconstructs both visible and hidden surfaces to create complete 3D objects rather than flat approximations, making the resulting assets suitable for applications such as 3D printing, game development, animation, film production, architecture, product design, and digital art. Hi3D supports single-image and multi-view image processing to generate accurate high-fidelity models with preserved sharp edges, realistic materials, and human-like detail. The platform includes AI-driven texture generation with support for 4K PBR-ready textures, allowing users to apply realistic surface materials to generated or uploaded models in one click. Advanced de-lighting technology intelligently removes baked lighting and shadows from textures to produce clean assets that can be relit and reused across production environments. Hi3D also provides specialized portrait generation tools capable of creating detailed human models with refined facial structures, skin textures, and hair-level detail at high resolutions suitable for animation, digital characters, and figurine production. Additional features include 3D relief generation from images, automated multi-color model segmentation for multi-material 3D printing, and one-click export to slicing software such as Bambu Studio and OrcaSlicer.
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
Mathmagic
Founded
2024
Country
China
Website
www.hitem3d.ai/
Product Features
Product Features
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