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Description
Mesh is an AI-powered relationship management platform designed to help users organize, track, and strengthen their networks. It automatically collects and updates contact information from emails, calendars, and other communication sources. The platform uses AI to provide insights such as career updates, social activity, and relevant news about contacts. Mesh enables users to set reminders and receive intelligent prompts for reconnecting with people at the right time. It offers a centralized, searchable database that makes it easy to access and manage all relationships in one place. The platform supports collaboration by allowing teams to share and leverage their combined networks. Mesh helps users identify connections within their team to facilitate introductions and opportunities. It integrates with multiple tools to ensure seamless data synchronization. The platform is designed with a simple and user-friendly interface for easy adoption. Mesh improves productivity by reducing the need for manual contact management. Overall, it provides a modern solution for managing relationships and networking effectively.
Description
Text2Mesh generates intricate geometric and color details across various source meshes, guided by a specified text prompt. The results of our stylization process seamlessly integrate unique and seemingly unrelated text combinations, effectively capturing both overarching semantics and specific part-aware features. Our system, Text2Mesh, enhances a 3D mesh by predicting colors and local geometric intricacies that align with the desired text prompt. We adopt a disentangled representation of a 3D object, using a fixed mesh as content integrated with a learned neural network, which we refer to as the neural style field network. To alter the style, we compute a similarity score between the style-describing text prompt and the stylized mesh by leveraging CLIP's representational capabilities. What sets Text2Mesh apart is its independence from a pre-existing generative model or a specialized dataset of 3D meshes. Furthermore, it is capable of processing low-quality meshes, including those with non-manifold structures and arbitrary genus, without the need for UV parameterization, thus enhancing its versatility in various applications. This flexibility makes Text2Mesh a powerful tool for artists and developers looking to create stylized 3D models effortlessly.
API Access
Has API
API Access
Has API
Integrations
Affinity
Axis LMS
Facebook
HubSpot CRM
HubSpot Customer Platform
LinkedIn
Microsoft 365
Salesforce
Texts
X (Twitter)
Integrations
Affinity
Axis LMS
Facebook
HubSpot CRM
HubSpot Customer Platform
LinkedIn
Microsoft 365
Salesforce
Texts
X (Twitter)
Pricing Details
$10 per month
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
Automattic
Country
United States
Website
me.sh/
Vendor Details
Company Name
Text2Mesh
Website
threedle.github.io/text2mesh/