Rain Removal
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Benchmarks
Most implemented
Restormer: Efficient Transformer for High-Resolution Image Restoration
Multi-Stage Progressive Image Restoration
Image De-raining Using a Conditional Generative Adversarial Network
Pre-Trained Image Processing Transformer
Uformer: A General U-Shaped Transformer for Image Restoration
Progressive Image Deraining Networks: A Better and Simpler Baseline
Papers
Spectral-Structured Diffusion for Single-Image Rain Removal
Rain streaks manifest as directional and frequency-concentrated structures that overlap across multiple scales, making single-image rain removal particularly challenging. While diffusion-based restoration models provide …
Computational EfficiencyRain RemovalSD-PSFNet: Sequential and Dynamic Point Spread Function Network for Image Deraining
Image deraining is crucial for vision applications but is challenged by the complex multi-scale physics of rain and its coupling with scenes. To address this challenge, a novel approach inspired by multi-stage image rest…
Image RestorationRain RemovalRethinking Nighttime Image Deraining via Learnable Color Space Transformation
Compared to daytime image deraining, nighttime image deraining poses significant challenges due to inherent complexities of nighttime scenarios and the lack of high-quality datasets that accurately represent the coupling…
Rain RemovalRaindropGS: A Benchmark for 3D Gaussian Splatting under Raindrop Conditions
3D Gaussian Splatting (3DGS) under raindrop conditions suffers from severe occlusions and optical distortions caused by raindrop contamination on the camera lens, substantially degrading reconstruction quality. Existing …
Camera Pose EstimationRain RemovalDeRainMamba: A Frequency-Aware State Space Model with Detail Enhancement for Image Deraining
Image deraining is crucial for improving visual quality and supporting reliable downstream vision tasks. Although Mamba-based models provide efficient sequence modeling, their limited ability to capture fine-grained deta…
Single Image DerainingRain RemovalPRISM: Progressive Rain removal with Integrated State-space Modeling
Image deraining is an essential vision technique that removes rain streaks and water droplets, enhancing clarity for critical vision tasks like autonomous driving. However, current single-scale models struggle with fine-…
Autonomous DrivingRain Removal