Shap-E
by OpenAI · open-source · Last verified 2026-03-17
Shap-E is OpenAI's improved 3D generation model that generates implicit neural representations of 3D objects (which can be rendered as textured meshes or NeRFs) from text or image prompts, producing richer geometry and appearance than its predecessor Point-E. It encodes 3D assets into a compact latent space and trains a diffusion model over that space, enabling more coherent shape-and-texture output.
https://github.com/openai/shap-e ↗D
D—Poor
Adoption: C+Quality: B+Freshness: C+Citations: FEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- text-to-3d, image-to-3d, nerf-generation, textured-mesh-export, implicit-neural-representation
- Integrations
- huggingface, pytorch
- Use Cases
- 3d-asset-prototyping, game-development-research, product-visualization, research, creative-exploration
- API Available
- Yes
- Parameters
- ~300M
- Context Window
- N/A
- Modalities
- text, image, 3d
- Training Cutoff
- 2023
- Tags
- 3d-generation, text-to-3d, implicit-representation, openai, open-source
- Added
- 2026-03-17
- Completeness
- 87%
Index Score
35Adoption
52
Quality
70
Freshness
56
Citations
2
Engagement
0