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Description

By incorporating image conditioning techniques alongside a prompt-based editing method, we offer users innovative ways to manipulate 3D synthesis, paving the way for various creative possibilities. Magic3D excels in generating high-quality 3D textured mesh models based on textual prompts. It employs a coarse-to-fine approach that utilizes both low- and high-resolution diffusion priors to effectively learn the 3D representation of the desired content. Moreover, Magic3D produces 3D content with 8 times the resolution supervision compared to DreamFusion, while also operating at twice the speed. Once a rough model is created from an initial text prompt, we can alter elements of the prompt and subsequently fine-tune both the NeRF and 3D mesh models, resulting in an enhanced high-resolution 3D mesh. This versatility not only enhances user creativity but also streamlines the workflow for producing detailed 3D visualizations.

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

Screenshots View All

Screenshots View All

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

Magic3D

Website

research.nvidia.com/labs/dir/magic3d/

Vendor Details

Company Name

Text2Mesh

Website

threedle.github.io/text2mesh/

Product Features

Product Features

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Alternatives

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