3D Model Segmentation and Part Generation with Hunyuan3D Part | Alpha | PandaiTech

3D Model Segmentation and Part Generation with Hunyuan3D Part

Learn how to use P3 SAM and XART tools to decompose 3D models into individual components and automatically reconstruct missing structures.

Learning Timeline
Key Insights

The Importance of the XART Tool

Standard segmentation (P3 SAM) only breaks the model apart, but parts hidden behind other layers are often 'hollow' or empty. XART uses AI to recreate this missing geometry so that each part becomes a complete, separately editable 3D object.

Free Demo Limitations

The demo on Hugging Face Space may have time limits or queues. For heavy usage or better privacy, you are encouraged to clone the GitHub repo and run it locally on your own machine.

Segmentation Output Quality

P3 SAM segmentation results might not be 100% accurate on the first try depending on the complexity of the model. However, it provides a very solid foundation for complex 3D model deconstruction compared to manual methods.
Step by Step

How to Perform 3D Model Segmentation with Hunyuan3D Part

  1. Visit the Hunyuan3D Part online demo page via the link provided on GitHub or in the description.
  2. Locate the model input section under the P3 SAM (Point-based Part Prior Segmentation) tab.
  3. Click the 'Upload' area and select a 3D model file (e.g., a Gundam or character model) from your computer.
  4. Wait for the system to automatically convert the model into a point cloud format.
  5. Click the 'Segment' button to start the AI-powered model part decomposition process.
  6. Check the segmentation results in the viewer; ensure each color component represents a different body part.
  7. Click the 'Generate' button using the XART (eXpirable Part Reconstruction) tool to reconstruct missing geometry for each segment.
  8. Wait for XART to complete the 'Decompose' process to generate complete, individual objects (manifold).
  9. View the final 'Exploded View' to ensure that hidden parts (such as the back of a shirt behind a cape) have been perfectly generated.

More from Generate Commercial & Cinematic AI Video

View All