面向多天气退化图像恢复的自注意力扩散模型
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秦菁, 文渊博, 高涛, 刘瑶
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A Transformer-Based Diffusion Model for All-in-One Weather-Degraded Image Restoration
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QIN Jing, WEN Yuanbo, GAO Tao, LIU Yao
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表6 不同算法在自然天气退化图像数据集上的定量对比
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Tab.6 Quantitative comparison of different methods on natural weather-degraded image dataset
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| 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/ 24.30_/ 3.874_ | 3.694_/26.47/ 3.480_ | 4.658/ 30.72_/ 4.317_ | | All-in-One[3] | 3.561/29.62/2.384 | 4.253/25.20/3.419 | 3.895/27.03/3.352 | 5.000_/38.94/4.073 | | TransWeather[4] | 3.020/ 27.78_/ 2.793_ | 3.791_/24.62/3.700 | 3.765/27.11/3.282 | 4.702/31.81/4.213 | | AWIR-TDM | 3.134_/27.62/2.980 | 3.752/24.23/3.965 | 3.636/ 26.75_/3.491 | 4.647/30.46/4.328 |
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