├── Feature_Maps ├── ENT_FM │ ├── RH_FMV3_lsgan_320DRA_13.png │ ├── RH_FMV3_lsgan_320DRA_31.png │ ├── RH_FMV3_lsgan_320DRA_33.png │ ├── RH_FMV3_lsgan_320DRA_37.png │ ├── RH_FMV3_lsgan_320DRA_40.png │ ├── RH_FMV3_lsgan_320DRA_43.png │ ├── RH_FMV3_lsgan_320DRA_44.png │ ├── RH_FMV3_lsgan_320DRA_52.png │ ├── RH_FMV3_lsgan_320DRA_54.png │ ├── RH_FMV3_lsgan_320DRA_57.png │ └── RH_FMV3_lsgan_320DRA_96.png ├── MAIN_FM │ ├── RH_FMV3_lsgan_320MSK_13.png │ ├── RH_FMV3_lsgan_320MSK_31.png │ ├── RH_FMV3_lsgan_320MSK_33.png │ ├── RH_FMV3_lsgan_320MSK_37.png │ ├── RH_FMV3_lsgan_320MSK_40.png │ ├── RH_FMV3_lsgan_320MSK_43.png │ ├── RH_FMV3_lsgan_320MSK_44.png │ ├── RH_FMV3_lsgan_320MSK_52.png │ ├── RH_FMV3_lsgan_320MSK_54.png │ ├── RH_FMV3_lsgan_320MSK_57.png │ └── RH_FMV3_lsgan_320MSK_96.png ├── RES_FM │ ├── RH_FMV3_lsgan_320RES_13.png │ ├── RH_FMV3_lsgan_320RES_31.png │ ├── RH_FMV3_lsgan_320RES_33.png │ ├── RH_FMV3_lsgan_320RES_37.png │ ├── RH_FMV3_lsgan_320RES_40.png │ ├── RH_FMV3_lsgan_320RES_43.png │ ├── RH_FMV3_lsgan_320RES_44.png │ ├── RH_FMV3_lsgan_320RES_52.png │ ├── RH_FMV3_lsgan_320RES_54.png │ ├── RH_FMV3_lsgan_320RES_57.png │ └── RH_FMV3_lsgan_320RES_96.png └── Rain_Images │ ├── RH_FMV3_lsgan_320Rainy_13.jpg │ ├── RH_FMV3_lsgan_320Rainy_31.jpg │ ├── RH_FMV3_lsgan_320Rainy_33.jpg │ ├── RH_FMV3_lsgan_320Rainy_37.jpg │ ├── RH_FMV3_lsgan_320Rainy_40.jpg │ ├── RH_FMV3_lsgan_320Rainy_43.jpg │ ├── RH_FMV3_lsgan_320Rainy_44.jpg │ ├── RH_FMV3_lsgan_320Rainy_52.jpg │ ├── RH_FMV3_lsgan_320Rainy_54.jpg │ ├── RH_FMV3_lsgan_320Rainy_57.jpg │ └── RH_FMV3_lsgan_320Rainy_96.jpg ├── Fig_R1.pdf ├── Fig_R2.pdf ├── Fig_R2S.pdf ├── README.md └── Rebuttal_Letter.pdf /Feature_Maps/ENT_FM/RH_FMV3_lsgan_320DRA_13.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/RobinCSIRO/ERL-Net-for-Single-Image-Deraining/9dfc528e8b2230b48b7e1718f47b8b5eaa07aad0/Feature_Maps/ENT_FM/RH_FMV3_lsgan_320DRA_13.png 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Fig.R1 and Fig.R2 are the higher resolution version for images in the rebuttal letter; 3 | 4 | 2. Rebuttal_Letter.pdf is a longer version of the submitted one page rebuttal letter (You can click to see it or not because all important information have been provided in the submitted one page PDF); 5 | 6 | 3. Fig.R2S shows more results on real rainy images. 7 | 8 | 4. More visualization of feature maps are located under 'Feature_Maps' (Click to see more to get a better understanding on what knowledge are learned by our model)： 9 | 10 | -/Feature_Maps/Rainy_Images: Rainy images are located under this path; 11 | 12 | -/Feature_Maps/ENT_FM: Feature maps after entanglement are located under this path; 13 | 14 | -/Feature_Maps/MAIN_FM: Feature maps from the main encoder branch are located under this path; 15 | 16 | -/Feature_Maps/RES_FM: Feature maps from the residual encoder branch are located under this path; 17 | 18 | 5. All feature maps, and de-raining results of images from different datasets, and all codes will be released in this repository after paper acceptance. 19 | -------------------------------------------------------------------------------- /Rebuttal_Letter.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/RobinCSIRO/ERL-Net-for-Single-Image-Deraining/9dfc528e8b2230b48b7e1718f47b8b5eaa07aad0/Rebuttal_Letter.pdf --------------------------------------------------------------------------------