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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.
Description
V2Fun is a comprehensive, browser-based platform that utilizes AI to facilitate the creation of 3D models and animations from text prompts, reference images, and standard videos. This innovative tool enables users to produce concept images that are not only structurally accurate but also perspective-correct, while generating high-quality assets from both single and multi-view images through advanced text processing. With features like built-in prompt optimization, it enhances inputs with spatial perspective, physically based rendering (PBR) materials, and detailed texture parameters. Additionally, its image-to-3D and text-to-3D engines maintain the artistic style, character characteristics, structural integrity, and natural lighting of the original inputs, allowing for quick iterations across various applications such as character creation, scene design, game assets, industrial models, and objects suitable for 3D printing. The platform's intelligent retopology feature delivers clean, lightweight, and editable quad meshes without compromising surface intricacy, while its AI-driven texture generator efficiently creates or replaces entire sets of PBR materials that include precise lighting, bump, gloss, and roughness data. As a result, users can seamlessly integrate various elements into their projects, enhancing creativity and productivity in the 3D design process.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Text2Mesh
Website
threedle.github.io/text2mesh/
Vendor Details
Company Name
V2Fun
Founded
2025
Country
United States
Website
v2fun.ai/