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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
VGSTUDIO stands out as a premier solution for visual quality assessment in various industrial sectors, particularly in electronics, while also serving as a powerful tool for data visualization in academic disciplines such as archaeology, geology, and life sciences. It efficiently manages the full process, beginning with the accurate reconstruction of three-dimensional volume data collected from CT scans, followed by both 3D and 2D visualizations and the production of captivating animations. The software excels in handling extensive CT data sets, virtually removing any limitations on data size. It features real-time ray tracing to achieve a photorealistic appearance, and it allows for the integrated visualization of voxel and mesh data, including the use of textured meshes. Users can manipulate 2D slices in arbitrary orientations and rotate views around customizable axes. Additionally, it offers gray-value classification of data sets and numerous 3D clipping options to enhance analysis. The ability to unroll objects or flatten freeform surfaces into a 2D representation adds to its versatility, enabling users to merge consecutive slices into a cohesive 2D view for comprehensive examination. Overall, VGSTUDIO is an invaluable asset for anyone seeking to explore and present complex data in a visually impactful way.
API Access
Has API
API Access
Has API
Integrations
Microsoft 365
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
Volume Graphics
Founded
1997
Country
Germany
Website
www.volumegraphics.com/en/products/vgstudio.html
Product Features
Product Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery