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What is Text2Mesh?

Text2Mesh creates complex geometric shapes and vibrant colors from different source meshes, all driven by a text prompt provided by the user. Our stylization method skillfully merges unique and often disparate text inputs, effectively reflecting both general meanings and detailed features tailored to specific parts of the mesh. This innovative system enhances a 3D model by predicting appropriate colors and fine geometric details that resonate with the given text prompt. We utilize a disentangled representation of a 3D object, incorporating a static mesh as content alongside a neural network that we call the neural style field network. To modify the style, we assess a similarity score between the descriptive text of the style and the resulting stylized mesh, utilizing CLIP’s powerful representational strengths. What distinguishes Text2Mesh is its capability to function without relying on any prior generative model or a dedicated dataset of 3D meshes. Additionally, it can adeptly handle lower-quality meshes, which may include problematic non-manifold structures and various topological complexities, all without requiring UV parameterization. This remarkable versatility positions Text2Mesh as a valuable resource for artists and developers eager to effortlessly produce stylized 3D models, opening up new avenues for creative exploration. Ultimately, Text2Mesh not only enhances the artistic process but also streamlines the workflow for 3D model creation, making artistic expression more accessible than ever before.

What is ContextCapture?

Convert basic photographs and point cloud data into complex 3D models. The reality modeling technique entails capturing the physical characteristics of an infrastructure asset, creating an intricate representation, and maintaining it through regular surveys. Bentley's ContextCapture stands out as an advanced reality modeling tool that delivers a detailed digital depiction of the real world by generating a 3D reality mesh. This mesh is constructed from a multitude of triangles and image data, resulting in a comprehensive model that accurately reflects existing conditions. Every component within this digital structure can be automatically recognized and spatially linked, facilitating an immersive and user-friendly experience for navigating, locating, visualizing, and retrieving asset information. Reality meshes have diverse applications across multiple engineering, maintenance, and GIS workflows, providing crucial real-world context to guide decisions related to design, construction, and operational activities. The technology often employs overlapping aerial images collected by drones, supplemented by ground-level photos and, if required, enhanced with laser scans to ensure precision. Consequently, the combination of these techniques guarantees a meticulous and dependable digital representation of the surrounding physical space, which can significantly enhance project outcomes and decision-making processes. This integration of various data sources elevates the effectiveness of reality modeling in numerous fields.

Media

Media

Integrations Supported

MicroStation
Prevu3D
Skydio 3D Scan
SuperMap GIS

Integrations Supported

MicroStation
Prevu3D
Skydio 3D Scan
SuperMap GIS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Text2Mesh

Company Website

threedle.github.io/text2mesh/

Company Facts

Organization Name

Bentley Systems

Date Founded

1984

Company Location

United States

Company Website

www.bentley.com/en/products/brands/contextcapture

Categories and Features

Categories and Features

3D Modeling

2D Drawing
Animation
Annotations
Bill of Materials
Character Modeling
Collaboration Tools
Component Library
Data Import / Export
For 3D Printing
For Architects
For Manufacturers
Reference Management
Simulation

Drone Mapping

2D Maps
3D Maps
Annotations
Compare Maps
Distance Measurement
Elevation Profiles
Overlays
Photogrammetry
Sharing Tools
Site Progress Tracking
Virtual Inspections

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