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| title: ReSWD | |
| emoji: 📊 | |
| colorFrom: purple | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.47.1 | |
| app_file: app.py | |
| pinned: false | |
| 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. | |
| <a href="https://reservoirswd.github.io/"><img src="https://img.shields.io/badge/Project%20Page-5CE1BC.svg"></a> <a href="https://reservoirswd.github.io/static/paper.pdf"><img src="https://img.shields.io/badge/Arxiv-2408.00653-B31B1B.svg"></a> <a href="https://huggingface.co/spaces/stabilityai/reswd"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Gradio%20Demo-Huggingface-orange"></a> | |
| 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). | |
| ## 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} | |
| } | |
| ``` | |