Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Mesh serves as an AI-driven finance assistant tailored to support busy teams in managing expenses, runway, and revenue efficiently, eliminating the reliance on spreadsheets and guesswork. It effortlessly integrates with established accounting and financial systems, thereby removing the hassle of duplicate data entry and minimizing additional workload. With real-time insights, Mesh delivers prompt information on cash flow, expenditures, and revenue, much like having a CFO readily available. Its ongoing reconciliation feature guarantees that transactions are consistently updated and accurate, maintaining flawless records. By synchronizing information across various financial platforms, Mesh removes the need for manual data mapping, enabling users to prioritize growth over tedious bookkeeping tasks. The AI-driven analyst embedded in Mesh can address inquiries, enhancing financial visibility, promoting smarter spending choices, and decreasing unnecessary expenses. Furthermore, this innovative tool empowers teams to make informed decisions quickly, promoting overall financial health and efficiency.
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
No
API Access
Has API
No
Integrations
Agent Payments Protocol (AP2)
Yes
BILL
Yes
QuickBooks Online
Yes
Ramp
Yes
Stripe
Yes
Xero
Yes
Integrations
Agent Payments Protocol (AP2)
No
BILL
No
QuickBooks Online
No
Ramp
No
Stripe
No
Xero
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)
Yes
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)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Mesh
Founded
2024
Country
United States
Website
www.usemesh.com
Vendor Details
Company Name
Text2Mesh
Website
threedle.github.io/text2mesh/