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NVIDIA · Research Intern · 2024

Physical-property assignment to 3D meshes

At NVIDIA Research, I developed a foundation-model framework for physical-property assignment to 3D meshes through part segmentation and multimodal material identification.

From geometry to material-aware parts

The framework links 2D foundation-model features across rendered views of a 3D asset, producing consistent parts that can be assigned semantic and material labels.

How it works

  1. Render the mesh from multiple views and extract image features and segmentation masks.
  2. Refine and aggregate features into a consistent 3D feature field, then cluster the mesh into parts.
  3. Use multimodal reasoning to label parts and estimate materials, grounding those labels back onto the 3D asset.

Outcome

Co-inventor on U.S. Patent Application 19/024,394, filed January 16, 2025 and published as US20260038283A1 on February 5, 2026.

Contributions

  • Developed a framework connecting 3D part segmentation with material identification.
  • Combined visual foundation models and multimodal reasoning for physical-property assignment.

System and method of semantic segmentation and material identification of 3D objects. Published patent application 2026.