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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 ModelMatch?

ModelMatch is an online platform designed to help users evaluate prominent open-source vision-language models for image analysis tasks without the need for any coding knowledge. Users can upload up to four images and specify prompts to receive detailed assessments from multiple models simultaneously. The service features models that range in size from 1 billion to 12 billion parameters, all of which are open-source and include commercial licenses. Each model receives a quality score on a scale of 1 to 10, indicating its suitability for the given task, along with metrics on processing times and real-time updates during the evaluation process. Furthermore, the platform's intuitive interface makes it easy for users with varying levels of technical expertise to navigate, thereby expanding its accessibility and appeal to a wider audience. This inclusive approach ensures that more individuals can benefit from advanced image analysis technologies, regardless of their background.

Media

Media

Integrations Supported

Janus-Pro-7B
Llama 3.2
Pixtral Large

Integrations Supported

Janus-Pro-7B
Llama 3.2
Pixtral Large

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

ModelMatch

Company Website

www.findbestmodel.app/

Categories and Features

Categories and Features

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