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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
nFrames SURE software offers an effective solution for dense image surface reconstruction tailored for organizations involved in mapping, surveying, geo-information, and research. This software excels at generating accurate point clouds, Digital Surface Models (DSMs), True Orthophotos, and textured meshes from images of varying sizes, whether small, medium, or large frame. It is particularly suited for a range of applications, such as nationwide mapping initiatives, monitoring projects utilizing both manned aircraft and UAVs, as well as cadaster, infrastructure planning, and 3D modeling tasks. SURE Aerial is crafted specifically for aerial image datasets obtained from large frame nadir cameras, oblique cameras, and hybrid systems equipped with additional LiDAR sensors. It efficiently handles images of any resolution, facilitating the creation of 3D meshes, True Orthophotos, point clouds, and DSMs on standard workstation hardware or within cluster environments. The software is user-friendly, easy to set up, and operates in compliance with industry standards for mapping, making it accessible for technologies that support web streaming. Its versatility ensures that it meets the diverse needs of various projects while providing reliable outputs.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
nFrames
Founded
2014
Country
Germany
Website
www.nframes.com
Product Features
Product Features
GIS
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis