Densely Residual Laplacian Super-Resolution

28 Jun 2019Saeed AnwarNick Barnes

Super-Resolution convolutional neural networks have recently demonstrated high-quality restoration for single images. However, existing algorithms often require very deep architectures and long training times... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Image Super-Resolution BSD100 - 2x upscaling DRLN+ PSNR 32.47 # 2
SSIM 0.9032 # 2
Image Super-Resolution BSD100 - 3x upscaling DRLN+ PSNR 29.4 # 1
SSIM 0.8125 # 2
Image Super-Resolution BSD100 - 4x upscaling DRLN+ PSNR 27.87 # 2
SSIM 0.7453 # 8
Image Super-Resolution BSD100 - 8x upscaling DRLN+ PSNR 25.06 # 1
SSIM 0.607 # 1
Image Super-Resolution Manga109 - 2x upscaling DRLN+ PSNR 39.75 # 1
SSIM 0.9792 # 1
Image Super-Resolution Manga109 - 3x upscaling DRLN+ PSNR 34.94 # 1
SSIM 0.9518 # 1
Image Super-Resolution Manga109 - 4x upscaling DRLN+ PSNR 31.78 # 2
SSIM 0.9211 # 2
Image Super-Resolution Manga109 - 8x upscaling DRLN+ PSNR 25.55 # 2
SSIM 0.8087 # 2
Image Super-Resolution Set14 - 2x upscaling DRLN+ PSNR 34.43 # 2
SSIM 0.9247 # 1
Image Super-Resolution Set14 - 3x upscaling DRLN+ PSNR 30.8 # 1
SSIM 0.8498 # 1
Image Super-Resolution Set14 - 4x upscaling DRLN+ PSNR 29.02 # 4
SSIM 0.7914 # 8
Image Super-Resolution Set14 - 8x upscaling DRLN+ PSNR 25.4 # 2
SSIM 0.6547 # 2
Image Super-Resolution Set5 - 2x upscaling DRLN+ PSNR 38.34 # 2
SSIM 0.9619 # 2
Image Super-Resolution Set5 - 3x upscaling DRLN+ PSNR 34.86 # 1
SSIM 0.9307 # 2
Image Super-Resolution Set5 - 4x upscaling DRLN+ PSNR 32.74 # 2
SSIM 0.9013 # 6
Image Super-Resolution Set5 - 8x upscaling DRLN+ PSNR 27.46 # 2
SSIM 0.7916 # 2
Image Super-Resolution Urban100 - 2x upscaling DRLN+ PSNR 33.54 # 2
SSIM 0.9402 # 1
Image Super-Resolution Urban100 - 3x upscaling DRLN+ PSNR 29.37 # 1
SSIM 0.8746 # 1
Image Super-Resolution Urban100 - 4x upscaling DRLN+ PSNR 27.14 # 4
SSIM 0.8149 # 4
Image Super-Resolution Urban100 - 8x upscaling DRLN+ PSNR 23.24 # 1
SSIM 0.6523 # 1