The paper introduces a dual-branch state-space video deraining model with a dynamic stacking filter and semi-supervised median stacking loss, showing top PSNR across three benchmarks and new downstream task gains on a newly annotated rainy video benchmark.
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Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining
The paper introduces a dual-branch state-space video deraining model with a dynamic stacking filter and semi-supervised median stacking loss, showing top PSNR across three benchmarks and new downstream task gains on a newly annotated rainy video benchmark.