chinmay5/semantically_consistent_graph_generation
Official code for the MICCAI 2025 paper "Semantically Consistent Discrete Diffusion for 3D Biological Graph Generation"
This project helps medical researchers and anatomists generate realistic 3D models of biological structures like blood vessels and airways. It takes existing 3D graph data (like from medical scans) and outputs new, anatomically valid 3D graphs, even correcting structural errors. It's designed for those who need to simulate or study complex biological networks.
No commits in the last 6 months.
Use this if you need to generate high-quality, anatomically accurate 3D vascular or airway graph models for research, simulation, or educational purposes.
Not ideal if you are working with biological structures outside of 3D vascular or airway networks or require real-time graph generation.
Stars
19
Forks
—
Language
Python
License
MIT
Category
Last pushed
Jul 07, 2025
Commits (30d)
0
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