面向多天气退化图像恢复的自注意力扩散模型

秦菁, 文渊博, 高涛, 刘瑶

A Transformer-Based Diffusion Model for All-in-One Weather-Degraded Image Restoration

QIN Jing, WEN Yuanbo, GAO Tao, LIU Yao

表6 不同算法在自然天气退化图像数据集上的定量对比

Tab.6 Quantitative comparison of different methods on natural weather-degraded image dataset

方法	Snow NIQE/SSEQ/NIMA	RainMist NIQE/SSEQ/NIMA	RainStreak NIQE/SSEQ/NIMA	Raindrop NIQE/SSEQ/NIMA
Uformer^[10]	3.395/28.31/2.644	4.021/26.88/3.289	3.771/27.19/3.376	4.792/34.06/4.260
Restormer^[11]	3.267/27.90/2.570	3.912/ $\underline{24.30}$ / $\underline{3.874}$	$\underline{3.694}$ /26.47/ $\underline{3.480}$	4.658/ $\underline{30.72}$ / $\underline{4.317}$
All-in-One^[3]	3.561/29.62/2.384	4.253/25.20/3.419	3.895/27.03/3.352	$\underline{5.000}$ /38.94/4.073
TransWeather^[4]	3.020/ $\underline{27.78}$ / $\underline{2.793}$	$\underline{3.791}$ /24.62/3.700	3.765/27.11/3.282	4.702/31.81/4.213
AWIR-TDM	$\underline{3.134}$ /27.62/2.980	3.752/24.23/3.965	3.636/ $\underline{26.75}$ /3.491	4.647/30.46/4.328