publications for dehazing/deRain
- PSNR (Peak Signal-to-Noise Ratio) [paper] [matlab code] [python code]
- SSIM (Structural Similarity) [paper] [matlab code] [python code]
- VIF (Visual Quality) [paper] [code]
- FSIM (Feature Similarity) [paper] [code]
- NIQE (Naturalness Image Quality Evaluator) [paper][matlab code][python code]
- KITTI [paper][data]
- RESIDE [paper][dataset]
- SceneNet [paper][dataset]
- I-HAZE [paper][dataset]
- O-HAZE [paper][dataset]
- D-HAZY [paper][dataset]
- Middlebury [paper][dataset]
- NYU Depth Dataset V2 [paper][dataset]
- JinshanPan,Physics-Based Generative Adversarial Models for Image Restoration and Beyond(PAMI 2020)[paper][code][web]
- Zhenghao Shi,Yaning Feng , Minghua Zhao, Erhu Zhang, Lifeng He, Normalized Gamma Transformation Based Contrast Limited Adaptive Histogram Equalization with Color Correction for Sand-Dust Image Enhancement. IET Image Processing. 14(4):747 -756, 2020 [paper][code]
- Sourya et al, Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing (CVPR)[paper][code]
- Dong et al, Multi-Scale Boosted Dehazing Network with Dense Feature Fusion. (CVPR) [paper][code]
- Li et al, Learning to Dehaze From Realistic Scene with A Fast Physics Based Dehazing Network. [paper][code]
- Shao et al, Domain Adaptation for Image Dehazing. (CVPR) [paper][code][web]
- Wu et al, Accurate Transmission Estimation for Removing Haze and Noise from a Single Image. (TIP) [paper][code]
- Ren et al, Single Image Dehazing via Multi-Scale Convolutional Neural Networks with Holistic Edges. (IJCV) [paper][code]
- Dong et al, FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing. [paper][code]
- Qin et al, FFA-Net: Feature Fusion Attention Network for Single Image Dehazing. (AAAI) [paper][code]
- Wu et al, Learning Interleaved Cascade of Shrinkage Fields for Joint Image Dehazing and Denoising. (TIP) [paper][code]
- Li et al, Semi-Supervised Image Dehazing. (TIP) [paper][code]
- Li et al, Benchmarking Single Image Dehazing and Beyond. (TIP) [paper][code][web]
- Pei et al, Classification-driven Single Image Dehazing. [paper][code]
- Liu et al, GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing. (ICCV) [paper][code]
- Li et al, Joint haze image synthesis and dehazing with mmd-vae losses. [paper][code]
- Peter et al, Feature Forwarding for Efficient Single Image Dehazing. [paper][code]
- Shu et al, Variational Regularized Transmission Refinement for Image Dehazing. [paper][code]
- Liu et al, End-to-End Single Image Fog Removal using Enhanced Cycle Consistent Adversarial Networks. [paper][code]
- Chen et al, Gated Context Aggregation Network for Image Dehazing and Deraining. (WACV) [paper][code]
- Ren et al, Deep Video Dehazing with Semantic Segmentation. (TIP) [paper][code]
- Ren et al, Gated Fusion Network for Single Image Dehazing. (CVPR) [paper][code]
- Zhang et al, FEED-Net: Fully End-To-End Dehazing. (ICME) [paper][code]
- Zhang et al, Densely Connected Pyramid Dehazing Network. (CVPR) [paper][code]
- Yang et al, Towards Perceptual Image Dehazing by Physics-based Disentanglement and Adversarial Training. (AAAI) [paper][code]
- Deniz et al, Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing. (CVPRW) [paper][code]
- Ren et al, An All-in-One Network for Dehazing and Beyond. (ICCV) [paper][code]
- Zhu et al, A fast single image haze removal algorithm using color attenuation prior. (TIP) [paper][code]
- Cai et al, DehazeNet: An end-to-end system for single image haze removal. (TIP) [paper][code]
- Ren et al, Single Image Dehazing via Multi-Scale Convolutional Neural Networks. (ECCV) [paper][code][web]
- He et al, Single Image Haze Removal Using Dark Channel Prior. (CVPR) [paper][web and code]
- Rain12 [paper] [data] (2016 CVPR)
- Rain100L_old_version [paper][dataset](2017 CVPR)
- Rain100L_new_version [paper][data]
- Rain100H_old_version [paper][dataset](2017 CVPR)
- Rain100H_new_version [paper][dataset]
- Rain800 [paper][dataset] (2017 Arxiv)
- Rain1200 [paper][dataset] (2018 CVPR)
- Rain1400 [paper][data] (2017 CVPR)
- Heavy Rain Dataset [paper][dataset] (2019 CVPR)
- Practical_by_Yang [paper][data] (2017 CVPR)
- Practica_by_Zhang [paper][data] (2017 Arxiv)
- Real-world Paired Rain Dataset [paper][data] (2019 CVPR)
- Du, Yingjun etc. Conditional Variational Image Deraining. (2020 TIP) [paper][code]
- Jiang Kui et al. Multi-Scale Progressive Fusion Network for Single Image Deraining. (2020 CVPR) [paper][code]
- Cong Wang et al. Physical Model Guided Deep Image Deraining. (2020 ICME) [paper][code]
- Yang, Youzhao et al. RDDAN: A Residual Dense Dilated Aggregated Network for Single Image Deraining. (2020 ICME) [paper][code][web]
- Ran, Wu; Yang, Youzhao et al. Single Image Rain Removal Boosting via Directional Gradient. (2020 ICME) [paper][code][web]
- Xu, Jun et al. Variational Image Deraining. (2020 WACV) [paper][code]
- Rajeev Yasarla et al. Confidence Measure Guided Single Image De-Raining. (2020 TIP) [paper][code]
- Yang, Wenhan et al. Single Image Deraining: From Model-Based to Data-Driven and Beyond. (2019 TPAMI) [paper][code]
- Yang, Wenhan et al. Scale-Free Single Image Deraining Via VisibilityEnhanced Recurrent Wavelet Learning. (2019 TIP) [paper][code]
- Wei, Yanyan et al. A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining. (2019 ICDM) [paper][code]
- Wang, Hong et al. A Survey on Rain Removal from Video and Single Image. (2019 Arxiv) [paper][code]
- Wang, Guoqing et al. ERL-Net: Entangled Representation Learning for Single Image De-Raining. (2019 ICCV) [paper][code]
- Yang, Youzhao et al. Single Image Deraining via Recurrent Hierarchy and Enhancement Network. (2019 ACM'MM) [paper][code]
- Wang, Zheng et al. DTDN: Dual-task De-raining Network. (2019 ACM'MM) [paper][code]
- Yu, Weijiang et al. Gradual Network for Single Image De-raining. (2019 ACM'MM) [paper][code]
- Wang, Yinglong et al. An Effective Two-Branch Model-Based Deep Network for Single Image Deraining. (2019 Arxiv) [paper][code]
- Yang, Youzhao el al. Single Image Deraining using a Recurrent Multi-scale Aggregation and Enhancement Network. (2019 ICME) [paper][code]
- Liu, Xing et al. Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. (2019 CVPR) [paper][code]
- Li, Ruoteng et al. Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning. (2019 CVPR) [paper][code]
- Wang, Tianyu et al. Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset. (2019 CVPR) [paper][code][dataset]
- Li, Siyuan et al. Single Image Deraining: A Comprehensive Benchmark Analysis. (2019 CVPR) [paper][code][dataset]
- Hu, Xiaowei et al. Depth-attentional Features for Single-image Rain Removal. (2019 CVPR) [paper][code]
- Wei, Wei et al. Semi-supervised Transfer Learning for Image Rain Removal. (2019 CVPR) [paper][code]
- Ren, Dongwei et al. Progressive Image Deraining Networks: A Better and Simpler Baseline. (2019 CVPR) [paper][code]
- Rajeev Yasarla et al. Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining. (2019 CVPR) [paper][code]
- Zhu, Hongyuan et al. RR-GAN: Single Image Rain Removal Without Paired Information. (2019 AAAI) [paper][code]
- Fu, Xueyang et al. Lightweight Pyramid Networks for Image Deraining. (2019 TNNLS) [paper][code]
*Chen et. al. Gated Context Aggregation Network for Image Dehazing and Deraining. (2018 WACV) [paper][code]
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Pu, Jinchuan et al. Removing rain based on a Cycle Generative Adversarial Network. (2018 ICIEA) [paper][code]
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Li, Xia et al. Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining. (2018 ECCV) [paper][code]
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Fan, Zhiwen et al. Residual-Guide Feature Fusion Network for Single Image Deraining. (2018 ACM'MM) [paper][code] *Li, Guanbin et al. Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining. (2018 ACM'MM) [paper][code] *Pan, Jinshan et al. Learning Dual Convolutional Neural Networks for Low-Level Vision. (2018 CVPR) [paper][code]
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Qian, Rui et al. Attentive Generative Adversarial Network for Raindrop Removal from a Single Image. (2018 CVPR) (tips: this research focuses on reducing the effets form the adherent rain drops instead of rain streaks removal) [paper][code] *Zhang, He et al. Density-aware Single Image De-raining using a Multi-stream Dense Network. (2018 CVPR) [paper][code]
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Du, Shuangli et al. Single image deraining via decorrelating the rain streaks and background scene in gradient domain. (2018 PR) [paper][code]
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Zhang, He et al. Image De-raining Using a Conditional Generative Adversarial Network. (2017 Arxiv) [paper][code]
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Chang, Yi et al. Transformed Low-Rank Model for Line Pattern Noise Removal. (2017 ICCV) [paper][code]
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JBO
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Wei, Wei et al. Joint Bi-layer Optimization for Single-image Rain Streak Removal. (2017 ICCV) [paper][paper]
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Gu, Shuhang et al. Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation. (2017 ICCV) [paper][code]
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Fu, Xueyang et al. Removing rain from single images via a deep detail network. (2017 CVPR) [paper] [code]
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Yang, Wenhan et al. Deep joint rain detection and removal from a single image. (2017 CVPR) [paper] [code]
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Wang, Yinglong et al. A Hierarchical Approach for Rain or Snow Removing in a Single Color Image. (2017 TIP) [paper][code]
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Fu, Xueyang et al. Clearing the skies: A deep network architecture for single-image rain removal. (2017 TIP) [paper][code]
- Li, Yu et al. Single Image Rain Streak Decomposition Using Layer Priors. [paper] [dataset]
- Luo, Yu et al. Removing rain from a single image via discriminative sparse coding. (2015 ICCV) [paper][code]
- David, Eigen et al. Restoring An Image Taken Through a Window Covered with Dirt or Rain. (2013 ICCV) [paper][code]
- Kang, Liwei et al. Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition. (2012 TIP) [paper][web]
- Yang, Wenhan et al. D3R-Net: Dynamic Routing Residue Recurrent Network for Video Rain Removal. (2019 TIP) [paper][code]
*Li, Minghan et al. Video Rain Streak Removal By Multiscale ConvolutionalSparse Coding. (2018 CVPR) [paper][code]
- Chen, Jie et al. Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework. (2018 CVPR) [paper][code][web] *Liu, Jiaying et al. Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos. (2018 CVPR) [paper][code][web]
- Wei, Wei et al. Should We Encode Rain Streaks in Video as Deterministic or Stochastic? (2017 ICCV) [paper] [code][web]
- Jiang, Taixiang et al. A novel tensor-based video rain streaks removal approach via utilizing discriminatively intrinsic priors. (2017 CVPR) [paper][code]
- Ren, Weilong et al. Video Desnowing and Deraining Based on Matrix Decomposition. (2017 CVPR) [paper][code][web]
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