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2 不同算法在多天气退化图像恢复任务上的定量对比
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Tab.2 Quantitative comparison of different methods in all-in-one weather-degraded image restoration tasks
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| 方法 | 源 | Snow100K-L PSNR/SSIM | Snow100K-M PSNR/SSIM | Snow100K-S PSNR/SSIM | Test1 PSNR/SSIM | Raindrop-A PSNR/SSIM | | Uformer[10] | CVPR 2022 | 26.24/0.8680 | 32.11/0.9316 | 34.00/0.9445 | 16.32/0.7565 | 30.33/0.9335 | | Restormer[11] | CVPR 2022 | / | / | / | / | / | | All-in-One[3] | CVPR 2020 | 28.14/0.8901 | 30.96/0.9290 | 32.63/0.9392 | 25.87/ | / | | TransWeather[4] | CVPR 2022 | / | / | / | /0.8893 | 30.21/0.9179 | | AWIR-TDM | | 31.69/0.9240 | 35.47/0.9565 | 37.16/0.9642 | 31.68/0.9347 | 32.33/0.9429 |
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