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2 不同算法在多天气退化图像恢复任务上的定量对比
Tab.2 Quantitative comparison of different methods in all-in-one weather-degraded image restoration tasks
方法 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 29.57 =/ 0.9106 = 33.71 =/ 0.9490 = 35.43 =/ 0.9583 = 29.81 =/ 0.9208 = 31.10 =/ 0.9337 =
All-in-One[3] CVPR 2020 28.14/0.8901 30.96/0.9290 32.63/0.9392 25.87/ 0.8996 _ 31.35 _/ 0.9299 _
TransWeather[4] CVPR 2022 29.15 _/ 0.8930 _ 32.02 _/ 0.9343 _ 32.98 _/ 0.9447 _ 28.61 _/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