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What is Virtuall?

Virtuall stands out as an advanced, cloud-driven 3D collaboration environment tailored for modern studios, creators, and teams enhanced by AI, seamlessly combining human ingenuity with generative AI processes all within one cohesive platform. It offers extensive asset and project management functionalities, including task distribution, oversight of production, cloud-based storage, version control, tagging systems, revision tracking, and auditing capabilities. Artists are empowered to swiftly generate 3D models from a variety of sources such as sketches, images, text, or multifaceted inputs, assess results from different AI engines, and export models in either high or low polygon formats for various uses. Users can conveniently render, preview, comment on, share, and analyze models directly through their browsers, benefiting from robust version control, integration with platforms like Slack and Jira, immediate sharing options, and compatibility with over 400 format combinations for comprehensive 3D conversion. The platform is equipped with enhanced collaboration tools, providing features like real-time feedback, organized comment management, stakeholder review capabilities, and insights into production metrics, ensuring that workflows remain transparent and efficient. This groundbreaking workspace not only boosts creative processes but also cultivates effective teamwork among users, ultimately leading to more polished and successful project results. Furthermore, the combination of these features allows teams to iterate quickly, making adjustments based on direct feedback, which is crucial in today’s fast-paced creative industries.

What is Point-E?

Recent progress in generating 3D objects from text has shown promising results; nonetheless, many of the leading techniques typically require multiple hours on powerful GPUs to produce just one sample, which stands in stark contrast to the more advanced generative image models that can create samples in a matter of seconds or minutes. In this research, we introduce a novel method for 3D object generation that allows for model creation in merely 1-2 minutes using only a single GPU. Our approach begins with generating a synthetic view through a text-to-image diffusion model, and it is followed by constructing a 3D point cloud using a second diffusion model that is conditioned on the image produced. Although our method has not yet reached the highest quality levels of the best existing techniques, it provides a considerably quicker sampling process, thus serving as a valuable alternative for certain applications. Additionally, we make available our pre-trained point cloud diffusion models, as well as the evaluation code and supplementary models, accessible at this provided URL. This endeavor is intended to encourage further research and innovation in the area of rapid 3D object generation, potentially paving the way for more efficient workflows in the industry.

Media

Media

Integrations Supported

Instagram
Jira
Roblox
Slack
Snapchat
TikTok

Integrations Supported

Instagram
Jira
Roblox
Slack
Snapchat
TikTok

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Virtuall

Date Founded

2022

Company Location

Denmark

Company Website

virtuall.pro/

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com/research/point-e

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