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Greatest papers with code

Multi-Stage Progressive Image Restoration

4 Feb 2021swz30/MPRNet

At each stage, we introduce a novel per-pixel adaptive design that leverages in-situ supervised attention to reweight the local features.

DEBLURRING IMAGE DENOISING IMAGE RESTORATION SINGLE IMAGE DERAINING

Density-aware Single Image De-raining using a Multi-stream Dense Network

CVPR 2018 hezhangsprinter/DID-MDN

In addition, an ablation study is performed to demonstrate the improvements obtained by different modules in the proposed method.

DENSITY ESTIMATION SINGLE IMAGE DERAINING

Progressive Image Deraining Networks: A Better and Simpler Baseline

CVPR 2019 csdwren/PReNet

To handle this issue, this paper provides a better and simpler baseline deraining network by considering network architecture, input and output, and loss functions.

SINGLE IMAGE DERAINING SSIM

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

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

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

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

Semi-supervised Transfer Learning for Image Rain Removal

CVPR 2019 wwzjer/Semi-supervised-IRR

However, previous deep learning methods need to pre-collect a large set of image pairs with/without synthesized rain for training, which tends to make the neural network be biased toward learning the specific patterns of the synthesized rain, while be less able to generalize to real test samples whose rain types differ from those in the training data.

SINGLE IMAGE DERAINING TRANSFER LEARNING

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