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Description
MeshMap serves as an innovative open platform for 3D mapping, aiming to enhance the development of spatial applications and experiences. It allows users to actively participate in creating an extensive 3D representation of the world by scanning their surroundings with devices such as smartphones, drones, or specialized equipment, and in return, they receive rewards for their contributions. The platform accommodates a variety of scanning techniques, including LiDAR, photogrammetry, and Gaussian splatting, while also providing preferred export options such as .gltf and .ply files. Additionally, MeshMap features a Unity SDK that facilitates the development and distribution of extended reality applications, allowing creators to import scans, craft unique content, and share their work with a global audience. Ensuring compatibility across multiple devices and platforms, the platform currently supports devices like Meta Quest 3 and Magic Leap 2, with aspirations for broader future compatibility. By nurturing a community-driven and contributor-owned mapping ecosystem, MeshMap strives to make high-precision and comprehensive 3D maps accessible to everyone, paving the way for new opportunities in spatial technology. This collaborative approach not only empowers users but also redefines how we interact with and visualize our world in three dimensions.
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
Magic Leap
Quest for Business
Unity
Pricing Details
No price information available.
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
MeshMap
Founded
2024
Country
United States
Website
www.meshmap.com
Vendor Details
Company Name
Text2Mesh
Website
threedle.github.io/text2mesh/