For training and testing, we provide the directory structure. You can download the complete datasets and put thme here.
|-- datasets
# image SR - train
|-- DF2K
|-- HR
|-- LR_bicubic
|-- X2
|-- X3
|-- X4
# color image denoising - train
|-- DFWB_RGB
|-- HQ
# real image denoising - train & val
|-- SIDD
|-- train
|-- target_crops
|-- input_crops
|-- val
|-- target_crops
|-- input_crops
# grayscale JPEG compression artifact reduction - train
|-- DFWB_CAR
|-- HQ
|-- LQ
|-- 10
|-- 30
|-- 40
# image SR - test
|-- SR
|-- Set5
|-- HR
|-- LR_bicubic
|-- X2
|-- X3
|-- X4
|-- Set14
|-- HR
|-- LR_bicubic
|-- X2
|-- X3
|-- X4
|-- B100
|-- HR
|-- LR_bicubic
|-- X2
|-- X3
|-- X4
|-- Urban100
|-- HR
|-- LR_bicubic
|-- X2
|-- X3
|-- X4
|-- Manga109
|-- HR
|-- LR_bicubic
|-- X2
|-- X3
|-- X4
# gaussian color image denoising - test
|-- ColorDN
|-- CBSD68HQ
|-- Kodak24HQ
|-- McMasterHQ
|-- Urban100HQ
# real image denoising - test
|-- RealDN
|-- SIDD
|-- ValidationGtBlocksSrgb.mat
|-- ValidationNoisyBlocksSrgb.mat
|-- DND
|-- info.mat
|-- ValidationNoisyBlocksSrgb
|-- 0001.mat
|-- 0002.mat
:
|-- 0050.mat
# grayscale JPEG compression artifact reduction - test
|-- CAR
|-- classic5
|-- Classic5_HQ
|-- Classic5_LQ
|-- 10
|-- 30
|-- 40
|-- LIVE1
|-- LIVE1_HQ
|-- LIVE1_LQ
|-- 10
|-- 30
|-- 40