
Recovering rain images using Self-supervised Reinforcement Learning for image deraining.


coremsg

image-deraining-via-self-supervised-reinforcement-learning


Image Deraining via Self-supervised Reinforcement Learning


title_rewrite


Restormer-Plus effectively addresses the challenges of real-world single image deraining by combining a modified Restormer model with median filtering, weighted averaging, and post-processing techniques, achieving state-of-the-art results in the GT-RAIN Challenge.


restormer-plus-a-runner-up-solution-for-real-world-single-image-deraining-in-the-gt-rain-challenge-cvpr-2023-


Restormer-Plus: A Runner-Up Solution for Real-World Single Image Deraining in the GT-RAIN Challenge (CVPR 2023)



This research paper introduces DFSSM, a novel deep learning model for single image deraining that leverages the strengths of state space models (SSMs) and frequency domain processing to achieve state-of-the-art performance in removing rain streaks and restoring image quality.


image-deraining-with-frequency-enhanced-state-space-model-dfssm-


Image Deraining with Frequency-Enhanced State Space Model (DFSSM)
