Processing math: 100%

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