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1. Derain Code Test

Algorithms Paper Link Projects Link
GMM Paper Link Code Link
DDN Paper Link Code Link
JORDER Paper Link Code Link
ID-CGAN Paper Link Code Link
DerainDrop Paper Link Code Link
DID-MDN Paper Link Code Link
DerainNet Paper Link Code Link
LPNet Paper Link Code Link
PReNet Paper Link Code Link
GP-based SSL Paper Link Code Link

2. Detection Code and Model

Algorithms Code Link Pretrain Model Link
Faster-RCNN Code Link sh./data/scripts/fetch_faster_rcnn_models.sh
RetinaNet Code Link MSCOCO pretrain model
YoloV3 Code Link https://pjreddie.com/media/files/yolov3.weights
SSD-512 Code Link https://drive.google.com/file/d/0BzKzrI_SkD1_NVVNdWdYNEh1WTA/view

3. Synthetic Data and Real Data

Data Type Download Link Download Link
Rain Mist Real Access Code: 6h55 Synthetic Access Code: 8kae
Rain Drop Real Access Code: n6xf Synthetic Access Code : wscw
Rain Streak Real Access Code: npsy Synthetic Access Code: drxn
the dataset of Deep-Network Github
Rain100H, Rain100L, Rain1400 and Rain12 Onedrive
Rain12600, RainTrainL, RainTrainH Onedrive

*We note that:

i. RainTrainL/Rain100L and RainTrainH/Rain100H are synthesized by Yang Wenhan. Rain12600/Rain1400 is from Fu Xueyang and Rain12 is from Li Yu.

4. Image Quality Metrics

5. Some related algorithms and Paper Link

The rain models

  • Automatic single-image-based rain streaks removal via image decomposition (TIP2012), Kang et al [PDF] [Code]

  • Removing rain from a single image via discriminative sparse coding [PDF]

  • Depth-attentional Features for Single-image Rain Removal [PDF]

  • Frame-Consistent Recurrent Video Deraining with Dual-Level Flow [PDF]

model-driven

  • Guided image filtering (ECCV2010), He et al. [Project] [PDF] [Code]

  • Removing rain and snow in a single image using guided filter (CSAE2012), Xu et al. [PDF]

  • An improved guidance image based method to remove rain and snow in a single image (CIS2012), Xu et al. [PDF]

  • Single-image deraining using an adaptive nonlocal means filter (ICIP2013), Kim et al. [PDF]

  • Single-image-based rain and snow removal using multi-guided filter (NIPS2013), Zheng et al. [PDF]

  • Single image rain and snow removal via guided L0 smoothing filter (Multimedia Tools and Application2016), Ding et al. [PDF]

  • Automatic single-image-based rain streaks removal via image decomposition (TIP2012), Kang et al [PDF] [Code]

  • Self-learning-based rain streak removal for image/video (ISCS2012), Kang et al. [PDF]

  • Single-frame-based rain removal via image decomposition (ICA2013), Fu et al. [PDF]

  • Exploiting image structural similarity for single image rain removal (ICIP2014), Sun et al. [PDF]

  • Visual depth guided color image rain streaks removal using sparse coding (TCSVT2014), Chen et al [PDF]

  • Removing rain from a single image via discriminative sparse coding (ICCV2015), Luo et al [PDF] [Code]

  • Rain streak removal using layer priors (CVPR2016), Li et al [PDF] [Code]

  • Single image rain streak decomposition using layer priors (TIP2017), Li et al [PDF]

  • Error-optimized dparse representation for single image rain removal (IEEE TIE2017), Chen et al [PDF]

  • A hierarchical approach for rain or snow removing in a single color image (TIP2017), Wang et al. [PDF]

  • Joint bi-layer optimization for single-image rain streak removal (ICCV2017), Zhu et al. [PDF]

  • Convolutional sparse and low-rank codingbased rain streak removal (WCACV2017), Zhang et al [PDF]

  • Joint convolutional analysis and synthesis sparse representation for single image layer separation (CVPR2017), Gu et al [PDF] [Code]

  • Single image deraining via decorrelating the rain streaks and background scene in gradient domain (PR2018)， Du et al [PDF]

data-driven

  • Restoring an image taken through a window covered with dirt or rain (ICCV2013), Eigen et al. [Project] [PDF] [Code]
  • Attentive generative adversarial network for raindrop removal from a single image (CVPR2018), Qian et al [Project] [PDF]
  • Clearing the skies: A deep network architecture for single-image rain streaks removal (TIP2017), Fu et al. [Project] [PDF] [Code]
  • Removing rain from single images via a deep detail network (CVPR2017), Fu et al. [Project] [PDF] [Code]
  • Image de-raining using a conditional generative adversarial network (Arxiv2017), Zhang et al [PDF] [Code]
  • Deep joint rain detection and removal from a single image (CVPR2017), Yang et al.[Project] [PDF] [Code]
  • Residual guide feature fusion network for single image deraining (ACMMM2018), Fan et al. [Project] [PDF]
  • Fast single image rain removal via a deep decomposition-composition network (Arxiv2018), Li et al [Project]) [PDF] [Code]
  • Density-aware single image de-raining using a multi-stream dense network (CVPR2018), Zhang et al [PDF] [Code]
  • Recurrent squeeze-and-excitation context aggregation net for single image deraining (ECCV2018), Li et al. [PDF] [Code]
  • Rain streak removal for single image via kernel guided cnn (Arxiv2018), Wang et al [PDF]
  • Physics-based generative adversarial models for image restoration and beyond (Arxiv2018), Pan et al [PDF]
  • Learning dual convolutional neural networks for low-level vision (CVPR2018), Pan et al [Project] [PDF] [Code]
  • Non-locally enhanced encoder-decoder network for single image de-raining (ACMMM2018), Li et al [PDF] [Code]
  • Unsupervised single image deraining with self-supervised constraints (ICIP2019), Jin et al [PDF]
  • Progressive image deraining networks: A better and simpler baseline (CVPR2019), Ren et al [PDF] [Code]
  • Spatial attentive single-image deraining with a high quality real rain dataset (CVPR2019), Wang et al [Project] [PDF] [Code]
  • Lightweight pyramid networks for image deraining (TNNLS2019), Fu et al [PDF] [Code]
  • Joint rain detection and removal from a single image with contextualized deep networks (TPAMI2019), Yang et al [PDF] [Code]