BriefGPT.xyz
Jul, 2024
超越图像先验:将嵌入噪声先验于条件去噪转换器
Beyond Image Prior: Embedding Noise Prior into Conditional Denoising Transformer
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Yuanfei Huang, Hua Huang
TL;DR
通过突出噪声和图像先验之间的明显区别,提出了一种基于条件优化框架的新的去噪方法。通过引入局部噪声先验估计算法和条件化自注意机制,该方法在合成和真实数据集上展示出优于现有方法的性能。
Abstract
Existing
learning-based denoising methods
typically train models to generalize the
image prior
from large-scale datasets, suffering from the variability in noise distributions encountered in real-world scenarios.
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