Related Products
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About
Our industry-leading geometric deep learning technology bridges the gap between physical objects and digital code. We are changing the future of engineering, industrial design and procurement, and putting the power in the hands of innovators and creators, one 3D model at a time. Using proprietary algorithms and advanced geometric deep learning technology, Physna codifies 3D models into detailed data that is understandable by software applications. By enabling 3D models to be treated and analyzed like other code, Physna’s technology bridges the gap between the physical world and digital world of software. Physna analyzes CAD models and other 3D models and creates a codified representation of the model, or the “Physna DNA” of that model. This digitized model allows Physna to show the detailed differences and similarities between models, even incomplete models or models with different file formats. See all components in complex assemblies, even parts contained in other parts.
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About
Text2Mesh produces color and geometric details over a variety of source meshes, driven by a target text prompt. Our stylization results coherently blend unique and ostensibly unrelated combinations of text, capturing both global semantics and part-aware attributes. Our framework, Text2Mesh, stylizes a 3D mesh by predicting color and local geometric details which conform to a target text prompt. We consider a disentangled representation of a 3D object using a fixed mesh input (content) coupled with a learned neural network, which we term neural style field network. In order to modify style, we obtain a similarity score between a text prompt (describing style) and a stylized mesh by harnessing the representational power of CLIP. Text2Mesh requires neither a pre-trained generative model nor a specialized 3D mesh dataset. It can handle low-quality meshes (non-manifold, boundaries, etc.) with arbitrary genus, and does not require UV parameterization.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Healthcare, defense, automotive, industrial machining, and more
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Audience
Organizations that need a complete AI 3D Model Generator solution
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
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Support
Phone Support
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24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
No information available.
Free Version
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Free Trial
Not Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationPhysna
Founded: 2015
United States
physna.com
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Company InformationText2Mesh
threedle.github.io/text2mesh/
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Integrations
No info available.
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Integrations
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