Note: For the following papers on image restoration, we only include the image restoration work validated on the deraining task in their paper. If you would like to add your paper, please contact chenxiang@njust.edu.cn.
Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
Efficient Frequency-Domain Image Deraining with Contrastive Regularization
Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal
MambaIR: A Simple Baseline for Image Restoration with State-Space Model
Learning A Spiking Neural Network for Efficient Image Deraining
Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks
Rethinking Multi-Scale Representations in Deep Deraining Transformer
Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration
Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining
PromptRestorer: A Prompting Image Restoration Method with Degradation Perception
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining
Selective Frequency Network for Image Restoration
From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal
Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks
Learning Rain Location Prior for Nighttime Deraining
Image Restoration with Mean-Reverting Stochastic Differential Equations
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
Learning A Sparse Transformer Network for Effective Image Deraining
SmartAssign: Learning a Smart Knowledge Assignment Strategy for Deraining and Desnowing
Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions
Ingredient-oriented Multi-Degradation Learning for Image Restoration
Continual Image Deraining with Hypergraph Convolutional Networks
Hybrid CNN-Transformer Feature Fusion for Single Image Deraining
Image De-raining Transformer
Generative Status Estimation and Information Decoupling for Image Rain Removal
Stochastic Window Transformer for Image Restoration
Magic ELF: Image Deraining Meets Association Learning and Transformer
Not Just Streaks: Towards Ground Truth for Single Image Deraining
Restormer: Efficient Transformer for High-Resolution Image Restoration
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions
Uformer: A General U-Shaped Transformer for Image Restoration
MAXIM: Multi-Axis MLP for Image Processing
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity
Deep Generalized Unfolding Networks for Image Restoration
Unpaired Deep Image Deraining Using Dual Contrastive Learning
All-In-One Image Restoration for Unknown Corruption
Dreaming to Prune Image Deraining Networks
KNN Local Attention for Image Restoration
Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model
Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond
Memory Uncertainty Learning for Real-World Single Image Deraining
Online-updated High-order Collaborative Networks for Single Image Deraining
Rain Streak Removal via Dual Graph Convolutional Network
Successive Graph Convolutional Network for Image De-raining
Unfolding Taylor's Approximations for Image Restoration
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining
Removing Raindrops and Rain Streaks in One Go
Pre-Trained Image Processing Transformer
Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation
Memory Oriented Transfer Learning for Semi-Supervised Image Deraining
Multi-Stage Progressive Image Restoration
Multi-Decoding Deraining Network and Quasi-Sparsity Based Training
Controlling the Rain: from Removal to Rendering
Robust Representation Learning with Feedback for Single Image Deraining
Image De-raining via Continual Learning
From Rain Generation to Rain Removal
Spatially-Adaptive Image Restoration using Distortion-Guided Networks
Improving De-raining Generalization via Neural Reorganization
Structure-Preserving Deraining with Residue Channel Prior Guidance
Unpaired Learning for Deep Image Deraining with Rain Direction Regularizer
Selective Wavelet Attention Learning for Single Image Deraining
Disentangled Representation Learning and Enhancement Network for Single Image De-Raining
Multifocal Attention-Based Cross-Scale Network for Image De-raining
Unsupervised Image Deraining: Optimization Model Driven Deep CNN
DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking
Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning
All in One Bad Weather Removal using Architectural Search
Detail-recovery Image Deraining via Context Aggregation Networks
Multi-Scale Progressive Fusion Network for Single Image Deraining
A Model-driven Deep Neural Network for Single Image Rain Removal
Syn2Real Transfer Learning for Image Deraining using Gaussian Processes
Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding
Rethinking Image Deraining via Rain Streaks and Vapors
Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network
DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal
Conditional Variational Image Deraining
Physics-Based Generative Adversarial Models for Image Restoration and Beyond
Single Image Deraining: From Model-Based to Data-Driven and Beyond
Single Image Deraining: A Comprehensive Benchmark Analysis
Depth-attentional Features for Single-image Rain Removal
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
Progressive Image Deraining Networks: A Better and Simpler Baseline
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
Semi-supervised Transfer Learning for Image Rain Removal
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset
Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining
ERL-Net: Entangled Representation Learning for Single Image De-Raining
Deep Learning for Seeing Through Window With Raindrops
DTDN: Dual-task De-raining Network
Gradual Network for Single Image De-raining
Single Image Deraining via Recurrent Hierarchy Enhancement Network
Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective
Image De-raining Using a Conditional Generative Adversarial Network
Lightweight Pyramid Networks for Image Deraining
Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks
Gated Context Aggregation Network for Image Dehazing and Deraining
Density-aware Single Image De-raining using a Multi-stream Dense Network
Attentive Generative Adversarial Network for Raindrop Removal from a Single Image
Learning Dual Convolutional Neural Networks for Low-Level Vision
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
Residual-Guide Network for Single Image Deraining
Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining
Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
Removing Rain from Single Images via a Deep Detail Network
Deep Joint Rain Detection and Removal from a Single Image
Joint Bi-layer Optimization for Single-image Rain Streak Removal
Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation
A Hierarchical Approach for Rain or Snow Removing in a Single Color Image
Rain Streak Removal Using Layer Priors
Removing Rain from A Single Image via Discriminative Sparse Coding
Restoring An Image Taken Through a Window Covered with Dirt or Rain
Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition