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аналитика - Image Deraining
Image Deraining via Self-supervised Reinforcement Learning
Recovering rain images using Self-supervised Reinforcement Learning for image deraining.
Restormer-Plus: A Runner-Up Solution for Real-World Single Image Deraining in the GT-RAIN Challenge (CVPR 2023)
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.
Image Deraining with Frequency-Enhanced State Space Model (DFSSM)
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.
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