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
Silhouette™ stands as the pioneering audience intelligence platform designed to define and engage anonymized personas through the analysis of earned media consumption, influencers, passions, personalities, and interests. By leveraging social data, Silhouette™ provides precise, actionable insights and media campaigns tailored to any specific persona or target audience. This innovative platform addresses the challenge of evaluating social influencer initiatives by linking social content engagement to tangible company revenue and various business metrics. For the first time, brands can transform their market research, marketing personas, and surveys into expansive, addressable audiences. At the heart of Silhouette™ is a comprehensive social identity graph that encompasses over 1.2 billion profiles gathered from 60 diverse platforms, more than a million websites, 300 million unique email accounts, and upwards of one billion IP addresses and mobile devices, making it a formidable tool in audience analytics. This extensive database equips brands with the capability to make informed decisions and tailor their strategies effectively.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Microsoft Excel
No
Pulsar Platform
No
Winmo
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
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
StatSocial
Founded
2012
Country
United States
Website
www.statsocial.com
Product Features
Product Features
Audience Intelligence
AI / Machine Learning
No
Audience Segmentation
No
Competitive Intelligence
No
Content Tracking
No
Data Visualization
No
Data-Driven Insights
No
Filters / Search
No
Image Recognition
No
Sentiment Analysis
No
Social Listening
No
Social Media Analytics
No
Trend Tracking
No