| _ | raining | _ |
|---|
| Confidence Measure Guided Single Image De- | raining | |
| Density-Aware Single Image De- | raining | Using a Multi-stream Dense Network |
| Dual-Domain Single Image De- | raining | Using Conditional Generative Adversarial Network |
| EAGNet: Elementwise Attentive Gating Network-Based Single Image De- | raining | With Rain Simplification |
| Efficient Single Image De- | raining | Model With Decoupled Deep Networks, An |
| ERL-Net: Entangled Representation Learning for Single Image De- | raining | |
| Image De- | raining | Transformer |
| Image De- | raining | Using a Conditional Generative Adversarial Network |
| Improving De- | raining | Generalization via Neural Reorganization |
| Joint Depth and Density Guided Single Image De- | raining | |
| Memory-Guided Image De- | raining | Using Time-Lapse Data |
| Morphological Networks for Image De- | raining | |
| Multi-frame de- | raining | algorithm using a motion-compensated non-local mean filter for rainy video sequences |
| Multiscale Attentive Image De- | raining | Networks via Neural Architecture Search |
| pyramid non-local enhanced residual dense network for single image de- | raining | , A |
| Rain-component-aware capsule-GAN for single image de- | raining | |
| Single-Image De- | raining | With Feature-Supervised Generative Adversarial Network |
| Subjective and Objective De- | raining | Quality Assessment Towards Authentic Rain Image |
| Successive Graph Convolutional Network for Image De- | raining | |
| two-stage method for single image de- | raining | based on attention smoothed dilated network, A |
| Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De- | raining | |
| Unified Single Image De- | raining | Model via Region Adaptive Coupled Network, A |
22 for raining