Magic3D 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.
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Meshy
Meshy is an innovative suite designed for 3D generative AI production. By utilizing our AI texturing and modeling tools, creators can significantly speed up the process of generating 3D content. The AI texturing feature empowers artists to input either text prompts or 2D concept art alongside an untextured model, allowing the AI to automatically apply textures in under three minutes. Our art-directable AI modeling tool further simplifies the crafting of 3D models, enabling artists to create impressive, high-poly designs from reference images or text prompts without needing advanced tools like ZBrush or RealityCapture. This means you can say goodbye to spending days on modeling and texturing, as 3D creations can be completed in mere minutes. Generate stunning 3D assets straight from 2D designs, regardless of your expertise in prompting. Upload your model and express any idea you envision in the prompt box, and within less than three minutes, you'll have a fully textured model ready for use. Our ambition is to revolutionize the entire 3D production pipeline through the power of generative AI, making high-quality 3D creation accessible to everyone.
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Text2Mesh
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.
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Integrations
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Company Details
Company:
Magic3D
Website:
research.nvidia.com/labs/dir/magic3d/
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
Magic3D Features and Options
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