GitHub - openai/shap-e: Generate 3D objects conditioned on text or images
GitHub - openai/shap-e: Generate 3D objects conditioned on text or imageshttps://github.com/openai/shap-e

GitHub - openai/shap-e: Generate 3D objects conditioned on text or images

🌟 Exciting AI tool alert! 🤖✨ Check out @OpenAI's Shap-E on GitHub! Generate 3D objects based on text or images with this impressive project. 🎨🖼️💡 #AI #GitHub #OpenAI #3DModeling #Innovation

  • Shap-E is a project by OpenAI for Generating Conditional 3D Implicit Functions.
  • The repository includes code and models for generating 3D objects based on text prompts.
  • Examples include generating objects like a chair resembling an avocado or an airplane resembling a banana.
  • Installation involves using pip to install the project.
  • Notebooks are available for sampling 3D models based on text or image prompts.
  • The process involves encoding 3D models or trimeshes, creating multiview renders, and working with Blender.
  • The project is available under the MIT license on GitHub.
  • The repository has a significant number of stars, watchers, and forks, indicating popularity.
  • The project is primarily coded in Python and includes some Jupyter Notebook files.