BriefGPT.xyz
Aug, 2021
重新思考深度图像先验去噪
Rethinking Deep Image Prior for Denoising
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Yeonsik Jo, Se Young Chun, Jonghyun Choi
TL;DR
通过有效自由度的分析和“随机时间组合”方法，我们扩展了“深度图像先验”的应用，特别针对去噪问题提出了优化的方案，在保留图像文本细节的同时，性能表现优于以前的方法。
Abstract
deep image prior
(DIP) serves as a good inductive bias for diverse inverse problems. Among them,
denoising
is known to be particularly challenging for the DIP due to noise fitting with the requirement of an early
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