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
Virtuall serves as a cutting-edge, cloud-based 3D collaboration workspace designed specifically for contemporary studios, creators, and teams augmented by AI, effectively merging human creativity with generative AI workflows within a single platform. It provides comprehensive asset and project management capabilities, featuring tools for task assignment, production oversight, cloud storage solutions, version control, tagging systems, revision logs, and auditing functions. Artists can rapidly create 3D models from sketches, images, text, or multi-perspective inputs, evaluate outcomes from various AI engines, and export either high or low polygon models suited for diverse applications. The platform allows users to render, preview, annotate, share, and scrutinize models conveniently through their browser, benefiting from seamless version control, integration with Slack and Jira, instant sharing options, and support for over 400 format combinations in full 3D conversion. Enhanced collaboration tools are built-in, offering features like real-time annotations, organized feedback processes, stakeholder reviews, and insights into production performance, ensuring that pipelines are managed with transparency and efficiency. This innovative workspace not only elevates creative workflows but also fosters teamwork among users, ultimately leading to more refined and effective project outcomes.
API Access
Has API
No
API Access
Has API
No
Integrations
Instagram
No
Jira
No
Roblox
No
Slack
No
Snapchat
No
TikTok
No
Integrations
Instagram
Yes
Jira
Yes
Roblox
Yes
Slack
Yes
Snapchat
Yes
TikTok
Yes
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
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
NVIDIA
Country
United States
Website
nv-tlabs.github.io/GET3D/
Vendor Details
Company Name
Virtuall
Founded
2022
Country
Denmark
Website
virtuall.pro/