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title: DeepFracture Runtime
emoji: 💥
colorFrom: gray
colorTo: red
sdk: static
pinned: false
license: mit
models:
- nikoloside/deepfracture
tags:
- fracture
- physics
- simulation
- graphics
- three-js
---
# DeepFracture — Live Web Runtime
Real-time, in-browser neural brittle-fracture demo: click the object to shoot
a projectile; the impact becomes the paper's 7-D collision embedding, a JS
mirror of the Siren encoder selects the nearest VQ-VAE codebook entry
([nikoloside/deepfracture](https://huggingface.co/nikoloside/deepfracture)),
and the matching pre-decoded fragment set (decoder + watershed segmentation,
baked offline per codebook entry) swaps into the rigid-body simulation.
Three.js + Rapier. Also live at <https://nikoloside.graphics/deepfracture-live/>.
## Paper
This demo accompanies:
> **DeepFracture: A Generative Approach for Predicting Brittle Fractures with
> Neural Discrete Representation Learning.** Yuhang Huang, Takashi Kanai.
> *Computer Graphics Forum*, e70002, 2025.
> [DOI: 10.1111/cgf.70002](https://doi.org/10.1111/cgf.70002)
```bibtex
@article{huang2025deepfracture,
author = {Huang, Yuhang and Kanai, Takashi},
title = {DeepFracture: A Generative Approach for Predicting Brittle
Fractures with Neural Discrete Representation Learning},
journal = {Computer Graphics Forum},
pages = {e70002},
year = {2025},
doi = {https://doi.org/10.1111/cgf.70002}
}
```
Papers: [DeepFracture (CGF 2025)](https://nikoloside.graphics/deepfracture/) ·
[Far-From-Boundary Fields (SMI 2026)](https://nikoloside.graphics/far-from-boundary-fields/) ·
Code: [TEBP-DeepFracture](https://github.com/nikoloside/TEBP-DeepFracture)
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