DanielBarLev2/Group-Motion-Synthesis

This project generates realistic, text-driven crowd movement animations. It uses trajectory extraction from trace data, applies root masks, and leverages diffusion models (MDM) to generate coherent and diverse paths, producing high-quality animated results.

11
/ 100
Experimental
No License No Package No Dependents
Maintenance 6 / 25
Adoption 0 / 25
Maturity 3 / 25
Community 2 / 25

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Language

Python

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Category

3d-object-generation

Last pushed

Oct 30, 2025

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GitHub
3D Object Generation · 61 models

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