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3 不同算法在雪数据集Snow100K上的定量对比
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Tab.3 Quantitative comparison of different methods on Snow100K dataset
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方法 | 源 | Snow100K-L PSNR/SSIM | Snow100K-M PSNR/SSIM | Snow100K-S PSNR/SSIM | 平均指标 PSNR/SSIM | RESCAN[22] | ECCV 2018 | 26.08/0.8108 | 29.95/0.8860 | 31.51/0.9032 | 29.28/0.8667 | SPANet[23] | CVPR 2019 | 23.70/0.7930 | 28.06/0.8680 | 29.92/0.8260 | 27.23/0.8290 | DesnowNet[14] | TIP 2018 | 27.17/ 0.8983_ | 30.87/0.9409 | 32.33/0.9500 | 30.12/ 0.9300_ | JSTASR[24] | ECCV 2020 | 25.32/0.8076 | 29.11/0.8843 | 31.40/0.9012 | 28.61/0.8644 | SwinIR[25] | CVPR 2021 | 28.18/0.8800 | 31.42/0.9284 | 33.96/ 0.9567_ | 31.19/0.9217 | DDMSNet[26] | TIP 2021 | 28.85/0.8772 | 32.89/0.9330 | 34.34/0.9445 | 32.03/0.9182 | TransWeather[4] | CVPR 2022 | 29.21_/0.8947 | 33.41_/ 0.9416_ | 34.92_/0.9543 | 32.51_/0.9279 | AWIR-TDM | | 30.64/0.9193 | 35.26/0.9472 | 37.05/0.9680 | 34.32/0.9448 |
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