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Greatest papers with code

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset

CVPR 2019 stevewongv/SPANet

First, we propose a semi-automatic method that incorporates temporal priors and human supervision to generate a high-quality clean image from each input sequence of real rain images.

SINGLE IMAGE DERAINING

Single Image Deraining: A Comprehensive Benchmark Analysis

CVPR 2019 lsy17096535/Single-Image-Deraining

We present a comprehensive study and evaluation of existing single image deraining algorithms, using a new large-scale benchmark consisting of both synthetic and real-world rainy images. This dataset highlights diverse data sources and image contents, and is divided into three subsets (rain streak, rain drop, rain and mist), each serving different training or evaluation purposes.

SINGLE IMAGE DERAINING

A Model-driven Deep Neural Network for Single Image Rain Removal

CVPR 2020 hongwang01/RCDNet

Specifically, based on the convolutional dictionary learning mechanism for representing rain, we propose a novel single image deraining model and utilize the proximal gradient descent technique to design an iterative algorithm only containing simple operators for solving the model.

DICTIONARY LEARNING SINGLE IMAGE DERAINING

Multi-Scale Progressive Fusion Network for Single Image Deraining

CVPR 2020 kuihua/MSPFN

In this work, we explore the multi-scale collaborative representation for rain streaks from the perspective of input image scales and hierarchical deep features in a unified framework, termed multi-scale progressive fusion network (MSPFN) for single image rain streak removal.

SINGLE IMAGE DERAINING

EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

19 Sep 2020tsingqguo/efficientderain

To fill this gap, in this paper, we regard the single-image deraining as a general image-enhancing problem and originally propose a model-free deraining method, i. e., EfficientDeRain, which is able to process a rainy image within 10~ms (i. e., around 6~ms on average), over 80 times faster than the state-of-the-art method (i. e., RCDNet), while achieving similar de-rain effects.

DATA AUGMENTATION SINGLE IMAGE DERAINING

Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network

6 Aug 2020Ohraincu/JDNet

In the field of multimedia, single image deraining is a basic pre-processing work, which can greatly improve the visual effect of subsequent high-level tasks in rainy conditions.

SINGLE IMAGE DERAINING

Exploring Overcomplete Representations for Single Image Deraining using CNNs

20 Oct 2020jeya-maria-jose/Derain_OUCD_Net

Removal of rain streaks from a single image is an extremely challenging problem since the rainy images often contain rain streaks of different size, shape, direction and density.

SINGLE IMAGE DERAINING

PMHLD: Patch Map Based Hybrid Learning DehazeNet for Single Image Haze Removal

IEEE Transaction on Image Processing 2020 weitingchen83/Dehazing-PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal-TIP-2020

In addition, to further enhance the performance of the method for haze removal, a patch-map-based DCP has been embedded into the network, and this module has been trained with the atmospheric light generator, patch map selection module, and refined module simultaneously.

COMPUTATIONAL PHENOTYPING DENOISING IMAGE DEHAZING IMAGE RESTORATION NONHOMOGENEOUS IMAGE DEHAZING SINGLE IMAGE DERAINING SINGLE IMAGE HAZE REMOVAL