Main Purpose
The main purpose of the Shap-E GitHub repository is to provide an open-source implementation of Shap-E, a conditional generative model for 3D assets.
Key Features
- Generates 3D objects conditioned on text or images
- Uses a diffusion process to generate 3D images from text prompts
- Can render both textured meshes and neural radiance fields
- Trained on a large dataset of paired 3D and text data
- Capable of generating complex and diverse 3D assets in seconds
Use Case
- Generating 3D assets for various applications such as gaming, virtual reality, and computer graphics
- Creating realistic 3D models based on textual descriptions or images
- Enabling artists and designers to quickly generate 3D assets for their projects
