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Description
CloudCompare is a free and open-source software designed for processing 3D point clouds and triangular meshes. Initially created to facilitate the comparison of dense 3D point clouds, it has now transformed into a versatile solution for a wide range of 3D data processing activities. The application provides a variety of functionalities, including projection techniques, registration methods such as Iterative Closest Point (ICP), and calculations of distances between both clouds and meshes, along with statistical analysis, segmentation, and the estimation of geometric features. Users are able to manage multiple scalar fields associated with each point cloud, implement algorithms for smoothing and gradient evaluation, and visualize their data using dynamic color rendering options. The interactive tools included in the software make it easy to segment, rotate, translate, and measure 3D objects. CloudCompare is capable of supporting a wide array of input and output formats and is available for Windows, macOS, and Linux operating systems. Additionally, the software incorporates a plugin system that allows users to enhance its functionality further, making it a highly adaptable tool for 3D data analysis and visualization. With its growing community, users can benefit from continuous updates and a wealth of shared resources.
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
Free
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
CloudCompare
Country
United States
Website
www.danielgm.net/cc/
Vendor Details
Company Name
Text2Mesh
Website
threedle.github.io/text2mesh/