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Average Ratings 0 Ratings

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features
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Description

Manifold is an innovative application designed for field documentation and 3D scanning, catering primarily to contractors and field teams. Leveraging the capabilities of the LiDAR sensor, the app enables users to quickly scan physical environments and create detailed floor plans in less than 30 seconds. It captures intricate 3D data, allowing for precise measurements to within half an inch, the creation of digital twins, and the generation of X-ray views and immersive 360° virtual tours. Manifold's cloud-based technology efficiently processes the scans and integrates them into an organized digital layout, removing the hassle of manual point cloud registration. Additionally, the app includes robust photo documentation features, such as automatic organization by GPS location, timestamp, and user information, along with options for annotation, tagging, and limitless cloud storage. Teams can seamlessly collaborate in real-time with tools for project timelines, commenting, and task management, which promotes effective communication and alignment among all members. Furthermore, the platform’s intuitive interface enhances usability, making it accessible for users of varying technical expertise.

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 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$16 per month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
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

Manifold

Founded

2020

Country

Canada

Website

www.scanmanifold.com

Vendor Details

Company Name

Text2Mesh

Website

threedle.github.io/text2mesh/

Product Features

Product Features

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