NVIDIA GET3D
A Generative Model of High Quality 3D Textured Shapes Learned from Images.
Overview
GET3D (Generate Explicit Textured 3D) is a research project and AI model developed by NVIDIA. It is trained on 2D images to generate high-fidelity 3D shapes with complex topology, detailed geometry, and high-quality textures. The generated models are directly usable in standard 3D rendering engines and applications, aiming to democratize 3D content creation for virtual worlds.
✨ Key Features
- Generates high-quality 3D textured meshes
- Learns from 2D image collections
- Creates models with complex topology and rich geometric details
- Outputs meshes directly usable in 3D applications
- Can generate ~20 shapes per second on a single GPU
🎯 Key Differentiators
- Generates explicit, textured meshes, not just point clouds or NeRFs
- High-speed generation
- Integration into NVIDIA's ecosystem (Omniverse)
Unique Value: A significant leap in AI-powered 3D content creation, capable of generating high-quality, textured 3D models at scale directly from 2D images.
🎯 Use Cases (4)
✅ Best For
- Generating diverse 3D objects like cars, chairs, and animals from 2D image datasets.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Direct commercial use by individual creators (it's a research model, not a product)
- Text-to-3D generation (it's primarily image-based)
🏆 Alternatives
Unlike models that produce implicit representations (NeRFs) or untextured point clouds, GET3D generates explicit, textured meshes that are immediately compatible with standard graphics pipelines.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: The code and model are available for research purposes on GitHub.
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