FMA-Net

A deep learning model designed for video super-resolution and deblurring

CommonProductVideoVideo Super-ResolutionVideo Deblurring
FMA-Net is a deep learning model specialized in video super-resolution and deblurring. It is designed to restore videos of low resolution and blur into high resolution and clarity. The model achieves this through a combination of flow-guided dynamic filtering and iterative feature refinement using multi-attention techniques, which are effective in handling large motions within the video. This results in a joint super-resolution and deblurring of videos. The model boasts its simplicity in structure and notable effectiveness, making it suitable for wide application in video enhancement and editing fields.
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458

Bounce Rate

43.56%

Page per Visit

1.0

Visit Duration

00:00:00

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