BVI-Mamba enhances low-light and underwater videos by combining feature alignment with a UNet architecture built from Visual State Space blocks, claiming better quality and efficiency than prior Transformer or convolution methods.
EDVR: Video restoration with enhanced de- formable convolutional networks,
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BVI-Mamba: Video Enhancement Using a Visual State-Space Model for Low-Light and Underwater Environments
BVI-Mamba enhances low-light and underwater videos by combining feature alignment with a UNet architecture built from Visual State Space blocks, claiming better quality and efficiency than prior Transformer or convolution methods.