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Updates for arXiv release
Browse files- README.md +7 -2
- app.py +1 -1
- src/gradio_demo/sw_guidance.py +1 -1
README.md
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# ReSWD: ReSTIR‘d, not shaken. Combining Reservoir Sampling and Sliced Wasserstein Distance for Variance Reduction.
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<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>
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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).
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## Citation
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```BibTeX
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# ReSWD: ReSTIR‘d, not shaken. Combining Reservoir Sampling and Sliced Wasserstein Distance for Variance Reduction.
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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).
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* **Repository**: [https://github.com/Stability-AI/ReSWD](https://github.com/Stability-AI/ReSWD)
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* **Tech report**: [https://arxiv.org/pdf/2510.01061](https://arxiv.org/pdf/2510.01061)
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* **Video summary**: [https://youtu.be/ckcSgf0s-jI](https://youtu.be/ckcSgf0s-jI)
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* **Project page**: [https://reservoirswd.github.io/](https://reservoirswd.github.io/)
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* **arXiv page**: [https://arxiv.org/abs/2510.01061](https://arxiv.org/abs/2510.01061)
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## Citation
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```BibTeX
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app.py
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# ReSWD
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**[Project Page](https://reservoirswd.github.io/)** |
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**[Paper](https://
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**[GitHub](https://github.com/Stability-AI/ReSWD)**
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ReSTIR‘d, not shaken. Combining Reservoir Sampling and Sliced Wasserstein
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# ReSWD
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**[Project Page](https://reservoirswd.github.io/)** |
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**[Paper](https://arxiv.org/abs/2510.01061)** |
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**[GitHub](https://github.com/Stability-AI/ReSWD)**
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ReSTIR‘d, not shaken. Combining Reservoir Sampling and Sliced Wasserstein
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src/gradio_demo/sw_guidance.py
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"stabilityai/stable-diffusion-3.5-large-turbo": {
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"num_inference_steps": 4,
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"guidance_scale": 1.0,
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"sw_u_lr": np.log10(
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"sw_steps": 6,
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"cfg_rescale_phi": 0.65,
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},
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"stabilityai/stable-diffusion-3.5-large-turbo": {
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"num_inference_steps": 4,
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"guidance_scale": 1.0,
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"sw_u_lr": np.log10(5e-3),
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"sw_steps": 6,
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"cfg_rescale_phi": 0.65,
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},
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