Rain Removal
124 papers with code • 1 benchmarks • 4 datasets
Libraries
Use these libraries to find Rain Removal models and implementations
Raindrop
Real Rain Dataset
RainDS
LasVR
Most implemented papers
Self-Refining Deep Symmetry Enhanced Network for Rain Removal
Rain removal aims to extract and remove rain streaks from images.
Gated Context Aggregation Network for Image Dehazing and Deraining
cddlyf/GCANet
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Image dehazing aims to recover the uncorrupted content from a hazy image.
Directional Regularized Tensor Modeling for Video Rain Streaks Removal
Outdoor videos sometimes contain unexpected rain streaks due to the rainy weather, which bring negative effects on subsequent computer vision applications, e. g., video surveillance, object recognition and tracking, etc.
Single Image Deraining: A Comprehensive Benchmark Analysis
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.
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
liruoteng/HeavyRainRemoval
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This filtering is guided by a rain-free residue image --- its content is used to set the passbands for the two channels in a spatially-variant manner so that the background details do not get mixed up with the rain-streaks.
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
liruoteng/HeavyRainRemoval
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CVPR 2019
This filtering is guided by a rain-free residue image --- its content is used to set the passbands for the two channels in a spatially-variant manner so that the background details do not get mixed up with the rain-streaks.
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow
The proposed framework is built upon a two-stage recurrent network with dual-level flow regularizations to perform the inverse recovery process of the rain synthesis model for video deraining.
PMS-Net: Robust Haze Removal Based on Patch Map for Single Images
Conventional patch-based haze removal algorithms (e. g. the Dark Channel prior) usually performs dehazing with a fixed patch size.
DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks
syy-whu/drd-net
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We have validated our approach on four recognized datasets (three synthetic and one real-world).
A Survey on Rain Removal from Video and Single Image
The investigations on rain removal from video or a single image has thus been attracting much research attention in the field of computer vision and pattern recognition, and various methods have been proposed against this task in the recent years.
