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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
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
$16 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
Manifold
Founded
2020
Country
Canada
Website
www.scanmanifold.com
Vendor Details
Company Name
Text2Mesh
Website
threedle.github.io/text2mesh/