3D object generator conditioned on text or images
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Shap-E is an open-source project that generates 3D objects from text or image inputs, offering a novel approach to 3D content creation for researchers and developers in AI and computer graphics. It enables rapid prototyping and exploration of 3D asset generation.
How It Works
Shap-E represents 3D objects using implicit functions, which are then rendered into textured meshes. This approach allows for efficient generation and manipulation of complex 3D shapes, outperforming previous methods in terms of speed and quality by encoding 3D assets into a compact latent space.
Quick Start & Requirements
pip install -e .
.BLENDER_PATH
environment variable set.Highlighted Details
Maintenance & Community
This is an official release from OpenAI. Further community engagement details are not provided in the README.
Licensing & Compatibility
The repository is released under the MIT License, permitting commercial use and integration with closed-source projects.
Limitations & Caveats
The README focuses on core functionality and examples; detailed performance benchmarks or limitations are not extensively documented. The image-to-3D functionality suggests background removal for optimal results.
1 year ago
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