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
Diving Deep into Regions: Exploiting Regional Information Transformer for Single Image Deraining
Our RTB is used for attention selection of rain-affected and unaffected regions and local modeling of mixed scales.
Exploring the potential of channel interactions for image restoration
c-yn/ChaIR
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Knowledge-Based Systems 2023
Image restoration aims to reconstruct a clear image from a degraded observation.
Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
Diffusion models possess powerful generative capabilities enabling the mapping of noise to data using reverse stochastic differential equations.
Controlling Vision-Language Models for Multi-Task Image Restoration
In this paper, we present a degradation-aware vision-language model (DA-CLIP) to better transfer pretrained vision-language models to low-level vision tasks as a multi-task framework for image restoration.
Latent Degradation Representation Constraint for Single Image Deraining
Since rain streaks show a variety of shapes and directions, learning the degradation representation is extremely challenging for single image deraining.
Prompt-based Ingredient-Oriented All-in-One Image Restoration
Tombs98/CAPTNet
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Image restoration aims to recover the high-quality images from their degraded observations.
From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal
yunguo224/lhp-rain
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ICCV 2023
Learning-based image deraining methods have made great progress.
A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG$^{\textbf{2}}$+ Track 3
Secondly, a transformer-based single image deraining network Uformer is implemented to pre-train on large real rain dataset and then fine-tuned on pseudo GT to further improve image restoration.
A Mountain-Shaped Single-Stage Network for Accurate Image Restoration
Tombs98/M3SNet
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Image restoration is the task of aiming to obtain a high-quality image from a corrupt input image, such as deblurring and deraining.
Selective Frequency Network for Image Restoration
c-yn/SFNet
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Conference 2023
Image restoration aims to reconstruct the latent sharp image from its corrupted counterpart.
