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 | 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 | 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 |
|
|
|