Single Image Deraining
50 papers with code • 9 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Single Image Deraining
Libraries
Use these libraries to find Single Image Deraining models and implementations
Raindrop
Synthetic Rain Datasets
RainCityscapes
Real Rain Dataset
Latest papers with no code
Unpaired Deep Image Deraining Using Dual Contrastive Learning
Learning single image deraining (SID) networks from an unpaired set of clean and rainy images is practical and valuable as acquiring paired real-world data is almost infeasible.
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining
Second, we further establish communication channels between low-frequency maps and high-frequency maps to interactively capture structures from high-frequency maps and add them back to low-frequency maps and, simultaneously, extract details from low-frequency maps and send them back to high-frequency maps, thereby removing rain streaks while preserving more delicate features in the input image.
Multi-Scale Hourglass Hierarchical Fusion Network for Single Image Deraining
Rain streaks bring serious blurring and visual quality degradation, which often vary in size, direction and density.
Exploiting Global and Local Attentions for Heavy Rain Removal on Single Images
In this work, we propose a novel network architecture consisting of three sub-networks to remove heavy rain from a single image without estimating rain streaks and fog separately.
Towards a Unified Approach to Single Image Deraining and Dehazing
We develop a new physical model for the rain effect and show that the well-known atmosphere scattering model (ASM) for the haze effect naturally emerges as its homogeneous continuous limit.
Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution
Next, we propose a step-wise fusion strategy to restore the HR depth map.
MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for Single Image Deraining
Rain streak removal in a single image is a very challenging task due to its ill-posed nature in essence.
Wavelet Channel Attention Module with a Fusion Network for Single Image Deraining
Wavelet transform and the inverse wavelet transform are substituted for down-sampling and up-sampling so feature maps from the wavelet transform and convolutions contain different frequencies and scales.
Single Image Deraining via Scale-space Invariant Attention Neural Network
Image enhancement from degradation of rainy artifacts plays a critical role in outdoor visual computing systems.
Physical Model Guided Deep Image Deraining
Single image deraining is an urgent task because the degraded rainy image makes many computer vision systems fail to work, such as video surveillance and autonomous driving.
