Generate 3D Objects with openai/shap-e: Text or Image-Based

openai/shap

openai/shap-e allows for the generation of 3D objects based on text or images. Discover its capabilities and get started with ease.

Generate 3D Objects with openai/shap-e: Text or Image-Based

openai/shap-e: Revolutionizing 3D Object Generation

openai/shap-e is a remarkable tool that enables the generation of 3D objects conditioned on text or images. This cutting-edge technology offers a unique and innovative approach to 3D modeling.

With openai/shap-e, users can create a wide variety of 3D objects. For instance, imagine generating a chair that looks like an avocado or an airplane that resembles a banana. The possibilities are truly endless.

To get started with openai/shap-e, the installation process is straightforward. Users can simply install with pip install -e... Additionally, there are several notebooks available to guide users through the process. For example, sample_text_to_3D.ipynb allows users to sample a 3D model based on a text prompt, while sample_image_to_3D.ipynb enables the generation of a 3D model based on a synthetic view image.

It's important to note that for the best results, users should remove the background from the input image. Another useful notebook is encode_model.ipynb, which loads a 3D model or a trimesh, creates a batch of multiview renders and a point cloud, encodes them into a latent, and renders it back. However, to make this work, Blender version 3.3.1 or higher is required, and the environment variable BLENDER_PATH must be set to the path of the Blender executable.

In conclusion, openai/shap-e is a powerful tool that opens up new possibilities in the world of 3D object generation, providing users with a creative and efficient way to bring their ideas to life in three dimensions.

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