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May, 2023
使用最优边界条件解决扩散常微分方程以实现更好的图像超分辨率
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
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Yiyang Ma, Huan Yang, Wenhan Yang, Jianlong Fu, Jiaying Liu
TL;DR
通过有效控制扩散模型回流过程中的随机性来提高预训练图像超分辨率模型的采样质量,在边界条件的选择上,我们通过对整个空间的高效探索来获取近似最优边界条件,并且通过我们的方法进行的采样结果质量要优于现有方法的随机结果。
Abstract
diffusion models
, as a kind of powerful generative model, have given impressive results on
image super-resolution
(SR) tasks. However, due to the randomness introduced in the reverse process of
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