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Apr, 2024
神经薛定谔桥匹配用于全色影像锐化
Neural Shrödinger Bridge Matching for Pansharpening
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Zihan Cao, Xiao Wu, Liang-Jian Deng
TL;DR
本研究提出了一种基于扩散概率模型和随机微分方程的倒问题方法,通过使用Schrödinger bridge匹配方法解决信息损失和采样效率问题,从而提高图像融合的性能。
Abstract
Recent
diffusion probabilistic models
(DPM) in the field of
pansharpening
have been gradually gaining attention and have achieved state-of-the-art (SOTA) performance. In this paper, we identify shortcomings in di
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