---
title: ReSWD
emoji: 📊
colorFrom: purple
colorTo: green
sdk: gradio
sdk_version: 5.47.1
app_file: app.py
pinned: false
short_description: Distribution Matching for Color Guidance and Correction.
models:
  - stabilityai/stable-diffusion-3.5-large-turbo
license: other
license_name: stabilityai-ai-community
license_link: LICENSE.md
---

# ReSWD: ReSTIR‘d, not shaken. Combining Reservoir Sampling and Sliced Wasserstein Distance for Variance Reduction.

This is the official codebase for **ReSWD**, a state-of-the-art algorithm for distribution matching with reduced variance. It has several applications (such as diffusion guidance or color matching).


* **Repository**: [https://github.com/Stability-AI/ReSWD](https://github.com/Stability-AI/ReSWD)
* **Tech report**: [https://arxiv.org/pdf/2510.01061](https://arxiv.org/pdf/2510.01061)
* **Video summary**: [https://youtu.be/ckcSgf0s-jI](https://youtu.be/ckcSgf0s-jI)
* **Project page**: [https://reservoirswd.github.io/](https://reservoirswd.github.io/)
* **arXiv page**: [https://arxiv.org/abs/2510.01061](https://arxiv.org/abs/2510.01061)

## Citation

```BibTeX
@article{boss2025reswd,
  title={ReSWD: ReSTIR‘d, not shaken. Combining Reservoir Sampling and Sliced Wasserstein Distance for Variance Reduction.},
  author={Boss, Mark and Engelhardt, Andreas and Donné, Simon and Jampani, Varun},
  journal={arXiv preprint},
  year={2025}
}
```