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JiayiGuo821
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app.py
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<h1 style="font-weight: 900; font-size: 3rem; margin: 0rem">
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{}
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</h1>
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</div>
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""".format(version))
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<h1 style="font-weight: 900; font-size: 3rem; margin: 0rem">
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{}
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</h1>
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<h2 style="font-weight: 450; font-size: 1rem; margin-top: 0.5rem; margin-bottom: 0.5rem">
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<b>Smooth Diffusion</b> is a new category of diffusion models that is simultaneously high-performing and smooth. <br>
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Our method formally introduces latent space smoothness to diffusion models like Stable Diffusion. This smoothness dramatically aids in: 1) improving the continuity of transitions in image interpolation, 2) reducing approximation errors in image inversion, and 3) better preserving unedited contents in image editing.
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</h2>
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<h3 style="font-weight: 450; font-size: 1rem; margin: 0rem">
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<a href="https://www.jiayiguo.net/" target="_blank">Jiayi Guo</a>, <a href="https://www.linkedin.com/in/xingqian-xu-97b46526/" target="_blank">Xingqian Xu</a>,
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<a href="https://scholar.google.com/citations?user=oM9rnYQAAAAJ&hl=en" target="_blank">Yifan Pu</a>, <a href="https://scholar.google.com/citations?user=Yibz_asAAAAJ&hl=en" target="_blank">Zanlin Ni</a>,
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<a href="https://scholar.google.com/citations?user=-hwGMHcAAAAJ&hl=en" target="_blank">Chaofei Wang</a>, <a href="https://in.linkedin.com/in/v-manushree" target="_blank">Manushree Vasu</a>,
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<a href="https://www.au.tsinghua.edu.cn/info/1103/1553.htm" target="_blank">Shiji Song</a>, <a href="https://www.gaohuang.net/" target="_blank">Gao Huang</a>
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and <a href="https://www.humphreyshi.com/home">Humphrey Shi</a>
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[<a href="https://arxiv.org/abs/2312.04410" style="color:blue;">arXiv</a>]
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[<a href="https://github.com/SHI-Labs/Smooth-Diffusion" style="color:blue;">GitHub</a>]
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</h3>
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</div>
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""".format(version))
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