SSIM (sRGB): 0.940PSNR (sRGB): 33.77Params(M): 20
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Deblurring
Deblurring is a computer vision task that involves removing the blurring artifacts from images or videos to restore the original, sharp content. Blurring can be caused by various factors such as camera shake, fast motion, and out-of-focus objects, and can result in a loss of detail and quality in the captured images. The goal of deblurring is to produce a clear, high-quality image that accurately represents the original scene.
<span style="color:grey; opacity: 0.6">( Image credit: Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks )</span>
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
벤치마크
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Dataset기록된 모델 예시MetricPaperCode
데이터셋
16개논문
10 Images, 4*4 Stitching, Exact Accuracy: 2
SSIM (sRGB): 0.944PSNR (sRGB): 33.96
SSIM (sRGB): 0.9326PSNR (sRGB): 32.62
SSIM (sRGB): 0.941PSNR (sRGB): 33.84
SSIM (sRGB): 0.933PSNR (sRGB): 32.63
SSIM (sRGB): 0.946PSNR (sRGB): 32.94
SSIM (sRGB): 0.933PSNR (sRGB): 32.90
SSIM (sRGB): 0.935PSNR (sRGB): 32.84Params(M): 22.2
SSIM (sRGB): 0.929PSNR (sRGB): 32.48Params(M): 20
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