Sep 5, 2023 · We propose a framework SAM-Deblur, integrating prior knowledge from the Segment Anything Model (SAM) into the deblurring task for the first time.
This implementation is based on BasicSR which is an open source toolbox for image/video restoration tasks.
To solve the problem, we propose a framework SAM-Deblur, integrating prior knowledge from the Segment Anything Model (SAM) into the deblurring task for the ...
We propose a framework SAM-Deblur, integrating prior knowledge from the Segment Anything Model (SAM) into the deblurring task for the first time.
Sep 4, 2024 · In particular, SAM-Deblur is divided into three stages. First, We preprocess the blurred images, obtain image masks via SAM, and propose a mask ...
Apr 17, 2024 · The SAM is an advanced computer vision model that automatically recognizes and segments arbitrary objects in an image and has gained ...
To solve the problem, we propose a framework SAM-Deblur, integrating prior knowledge from the Segment Anything Model (SAM) into the deblurring task for the ...
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Apr 17, 2024 · SAM-Deblur: Let Segment Anything Boost Image Deblurring · 1: SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging · 2: Deep Versatile ...
The Robust Segment Anything Model (RobustSAM), which enhances SAM's performance on low-quality images while preserving its promptability and zero-shot ...
Aug 10, 2023 · Does anyone here have experience using or comparing general deconvolution methods with 'AI'-based 'de-blurring' methods for microscopy data?